Is Semantic Information Meaningful Data?
Open accessAbstract
There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth-values do not supervene on semantic information, and misinformation (that is, false semantic information) is not a type of semantic information, but pseudo-information, that is not semantic information at all. This is shown by arguing that none of the reasons for interpreting misinformation as a type of semantic information is convincing, whilst there are compelling reasons to treat it as pseudo-information. As a consequence, SDI is revised to include a necessary truth-condition. The last section summarises the main results of the paper and indicates some interesting areas of application of the revised definition.
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Written from the paper’s full text.
TL;DR
Floridi argues that the Standard Definition of Information (SDI) as well-formed, meaningful data gives only necessary but insufficient conditions for semantic information, because truth-values do not supervene on information and misinformation is pseudo-information rather than a type of information. He revises SDI into RSDI by adding a fourth, necessary truth-condition, aligning with the Dretske–Grice approach.
Key findings
- SDI is formulated as: σ is DOS (declarative, objective, semantic) information iff (1) σ consists of n data (d), n ≥ 1; (2) the data are well-formed; (3) the well-formed data are meaningful. Floridi holds these are necessary but not sufficient.
- The paper rejects alethic neutrality (AN) — the claim that meaningful, well-formed data qualify as information regardless of truth-value — and with it the consequences that false information (FI) is a genuine type of information, that tautologies qualify as information (TA), and that "it is true that σ" is non-redundant (TI).
- Nine proposed reasons for treating false information as a type of semantic information (FI.1–FI.9) are each argued to be unconvincing; two positive arguments are given that misinformation is pseudo-information: (a) "false" in "false information" is attributive and negative, so the compound fails the splitting test (unlike "digital information"), and (b) if false information counted as information, semantic erosion by operators like "not" would be inexplicable.
- The revised definition (RSDI) adds a fourth condition: the meaningful, well-formed data are truthful. Five areas of application are listed, including critique of deflationary theories of truth, mathematical/analytic propositions, empty names, the standard definition of knowledge, and a quantitative theory of semantic information based on truth-values and degrees of discrepancy rather than probability distributions.
Methods
- Conceptual/philosophical analysis, not empirical: the paper works within situation logic (Israel and Perry; Devlin), using the symbol σ and the term "infon" for discrete items of information irrespective of semiotic code or physical implementation.
- The argument proceeds by (i) formalising SDI and its four endorsed neutralities (typological, taxonomic, ontological, genetic), (ii) rejecting the fifth, alethic neutrality, (iii) rebutting nine reasons for counting false information as information, and (iv) supplying two constructive arguments that it is pseudo-information.
- Illustrative examples are used throughout (e.g. a dinner-guests scenario, a "false constable," the EREP CD-ROM database, Poe's raven as a unary device, hieroglyphics before the Rosetta Stone).
Limitations
- Stated by the paper: the rejection of TA (tautologies as information) is not pursued because it is "crucially connected to the interpretation of mathematical and analytic truths" and is left to another paper; arguments against AN based on deflationary theories of truth and a criticism of TI are also deferred as beyond the paper's scope.
- Stated by the paper: the analysis is deliberately restricted to declarative, objective and semantic (DOS) information; non-declarative uses of "information" (stipulations, invitations, orders, instructions, game moves, music files, digital paintings) and the mathematical/pragmatic senses tied to uncertainty, probability and decision utility are explicitly excluded.
- Evident from the text: the argument is conceptual and illustrative rather than empirical, resting on linguistic intuitions (e.g. the attributive/predicative test, the "false constable" analogy) and on the plausibility of the semantic-erosion argument, with no data or formal proof offered for the central claim.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
1 of 13 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Interpretationnone given§ It follows that · p. 10
None of the consequences of AN (FI, TA, TI) seems ultimately defensible.
“None of these consequences seems ultimately defensible”
Quote in the paperNot a substantial claim - Interpretationnone given§ Is Semantic Information Meaningful Data? · p. 1
Truth-values do not supervene on semantic information.
“SDI is incorrect because truth-values do not supervene on semantic information”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Objective semantic information is taken to have a declarative or factual value, i.e., it is supposed to be correctly qualifiable alethically.
- Interpretationreasoning§ It follows that · p. 10
The rejection of the consequences of AN forces a revision of AN and hence of SDI.
“their rejection forces a revision of AN and hence of SDI.”
Quote in the paperSubstantial claim - Interpretationnone given§ Is Semantic Information Meaningful Data? · p. 1
None of the reasons for interpreting misinformation as a type of semantic information is convincing.
“none of the reasons for interpreting misinformation as a type of semantic information is convincing”
- Also stated in: § It follows that · p. 10 · hedged
“none of the main reasons that could be adduced for interpreting false information as a type of information is convincing”
Quote in the paperNot a substantial claim- Rests on an assumption: The reasons considered in the paper are the main reasons for interpreting misinformation as a type of semantic information.
- Also stated in: § It follows that · p. 10 · hedged
- Interpretationnone given§ Is Semantic Information Meaningful Data? · p. 1
There are compelling reasons to treat false and tautological information as pseudo-information.
“there are compelling reasons to treat it as pseudo-information”
- Also stated in: § It follows that · p. 10 · boosted
“there are compelling reasons to treat false and tautological information as pseudo-information”
Quote in the paperNot a substantial claim - Also stated in: § It follows that · p. 10 · boosted
- Interpretationreasoning§ Is Semantic Information Meaningful Data? · p. 1
SDI needs to be revised by adding a necessary truth-condition.
“As a consequence, SDI is revised to include a necessary truth-condition.”
- Also stated in: § 1. Introduction · p. 2 · plain
“It follows that SDI needs to be revised by adding a necessary truth-condition.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The rejection of FI alone is sufficient to force a revision of AN and hence of SDI.
- Also stated in: § 1. Introduction · p. 2 · plain
- Premisecitation§ 2. The Standard Definition of Information · p. 3
The bipartite account has gained sufficient consensus to become an operational standard in fields that tend to deal with data and information as reified entities.
“The bipartite account has gained sufficient consensus to become an operational standard in fields that tend to deal with data and information as reified entities”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Davis and Olson (1985)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Silver and Silver (1989)
- cites Checkland and Scholes (1990)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning§ Is Semantic Information Meaningful Data? · p. 1
SDI is incorrect.
“SDI is incorrect because truth-values do not supervene on semantic information, and misinformation (that is, false semantic information) is not a type of semantic information, but pseudo-information, that is not semantic information at all.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.1. An Analysis of the Standard Definition of Information · p. 8
Meaning is not (at least not only) in the mind of the user.
“Meaning is not (at least not only) in the mind of the user.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ Is Semantic Information Meaningful Data? · p. 1
SDI provides necessary but insufficient conditions for the definition of semantic information.
“SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information.”
- Also stated in: § 2.1. An Analysis of the Standard Definition of Information · p. 9 · plain
“insofar as SDI provides necessary conditions for σ to qualify as DOS information, it also endorses four types of neutrality: TN, TaxN, ON and GN.”
Quote in the paperSubstantial claim - Also stated in: § 2.1. An Analysis of the Standard Definition of Information · p. 9 · plain
- Interpretationreasoning§ 2.1. An Analysis of the Standard Definition of Information · p. 6
There can be no dataless information.
“As far as SDI.1 is concerned, SDI is correct: there can be no dataless information.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Is Semantic Information Meaningful Data? · p. 1
Misinformation (false semantic information) is not a type of semantic information, but pseudo-information.
“misinformation (that is, false semantic information) is not a type of semantic information, but pseudo-information, that is not semantic information at all.”
Quote in the paperNot a substantial claim- Rests on an assumption: The reasons considered in the paper are the main reasons for interpreting misinformation as a type of semantic information.
- Interpretationreasoning§ FI.4) FI can support decision-making processes. · p. 13
Denying that FI counts as a kind of information is not equivalent to denying that FI is a common phenomenon.
“Denying that FI counts as a kind of information is not equivalent to denying that FI is a common phenomenon”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 2.1. An Analysis of the Standard Definition of Information · p. 8
GN supports the possibility of information without an informed subject.
“GN supports the possibility of information without an informed subject, to adapt Popper's phrase.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 7. Conclusion: summary of results and future developments · p. 17
Information is not a truth-bearer but already encapsulates truth as truthfulness.
“information is not a truth-bearer but already encapsulates truth as truthfulness.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 6. The standard definition of information revised · p. 15
Well-formed and meaningful data may be of poor quality.
“Well-formed and meaningful data may be of poor quality.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 5. Two good reasons to believe that false information is pseudo-information · p. 15
If false information counted as a type of information, it would become difficult to make sense of semantic erosion.
“If false information does not count as semantic junk but as a type of information, it becomes difficult to make sense of the ordinary phenomenon of semantic erosion.”
Quote in the paperNot a substantial claim- Rests on an assumption: The cloth of semantic information can be, and indeed is, often undone by equally semantic means.
- Interpretationnone given§ 5. Two good reasons to believe that false information is pseudo-information · p. 14
Negative attributively-used adjectives negate one or more of the qualities necessary for x to be x.
“Negative, attributively-used adjectives negate one or more of the qualities necessary for x to be x.”
Quote in the paperSubstantial claim - Premisereasoning§ 6. The standard definition of information revised · p. 16
Syntactical well-formedness and meaningfulness are necessary but insufficient conditions for information.
“Since syntactical well-formedness and meaningfulness are necessary but insufficient conditions for information, it follows that SDI needs to be modified, to include a fourth condition about the positive alethic nature of the data in question:”
Quote in the paperSubstantial claim - Interpretationreasoning§ FI.4) FI can support decision-making processes. · p. 11
An analysis of the information content of σ must take into account the level of approximation of σ to its reference, both when σ is true and when it is false.
“logically, an analysis of the information content of σ must take into account the level of approximation of σ to its reference, both when σ is true and when it is false.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ FI.4) FI can support decision-making processes. · p. 12
An infon σ does not qualify as information just because it is interpretable.
“an infon σ does not qualify as information just because it is interpretable.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ FI.4) FI can support decision-making processes. · p. 11
False information can be pragmatically interesting because sources of information are usually supposed to be truth-oriented or truth-tracking by default.
“false information can still be pragmatically interesting (in the technical sense of the expression, see section two), because sources of information are usually supposed to be truth-oriented or truth-tracking by default”
Quote in the paperSubstantial claim- Rests on an assumption: Sources of information are usually supposed to be truth-oriented or truth-tracking by default.
- Interpretationreasoning§ 7. Conclusion: summary of results and future developments · p. 17
From RSDI, it follows that one could accept deflationary arguments as perfectly correct while rejecting the explanatory adequacy of DTT.
“From RSDI, it follows that one could accept deflationary arguments as perfectly correct while rejecting the explanatory adequacy of DTT.”
Quote in the paperSubstantial claim - Interpretationnone given§ 5. Two good reasons to believe that false information is pseudo-information · p. 14
At least some adjectives can be used attributively or predicatively depending on context, rather than being intrinsically classified as either.
“at least some adjectives can be used attributively or predicatively depending on the context, rather than necessarily being classified as either attributive or predicative intrinsically.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 26
- May combine two claims. 8
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Is Semantic Information Meaningful Data? · p. 1There is no consensus on a single, unified definition of semantic information.
“There is no consensus yet on the definition of semantic information.”
- Also stated in: § 1. Introduction · p. 1 · plain
“recent surveys have shown no consensus on a single, unified definition of semantic information.¹”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Floridi [2002], [2004a], [2005] source
Section 5 (p. 137) says there is no consensus on a single, unified definition of information. It mentions a proposed revision to the definition of semantic information, but does not specifically say there is no consensus on that narrower definition. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Also stated in: § 1. Introduction · p. 1 · plain
Probably not a substantial claim: may not pass S1 (asserted).
Interpretationnone given§ 2.1. An Analysis of the Standard Definition of Information · p. 7No information without data representation.
“ON) no information without data representation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 3. Alethic neutrality · p. 9According to SDI, alethic values are not embedded in, but supervene on semantic information.
“According to SDI, alethic values are not embedded in, but supervene on semantic information:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ Is Semantic Information Meaningful Data? · p. 1Meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful.
“meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Objective semantic information is taken to have a declarative or factual value, i.e., it is supposed to be correctly qualifiable alethically.
Classified as probably not a substantial claim.
Interpretationreasoning§ 2.1. An Analysis of the Standard Definition of Information · p. 7A datum is a relational entity.
“TaxN) a datum is a relational entity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ 2.1. An Analysis of the Standard Definition of Information · p. 8δ can have a semantics independently of any informee.
“GN) δ can have a semantics independently of any informee.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ 2. The Standard Definition of Information · p. 3The bipartite account is not rigorous enough to be applied in the context of an information-theoretical epistemology.
“The question is whether it is rigorous enough to be applied in the context of an informationtheoretical epistemology. We shall see that this is not the case”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Interpretationreasoning§ FI.3) FI can still be genuinely informative, if only indirectly. · p. 11FI can be genuinely informative indirectly only because it is coupled to true metainformation M; what counts as information is M, not FI.
“FI may be coupled to some true, metainformation M that the source of FI is not fully reliable. What now counts as information is the true M, not the false FI.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisecitation§ 2. The Standard Definition of Information · p. 3Over the last three decades, most analyses have supported a definition of DOS information in terms of data + meaning.
“Over the last three decades, most analyses have supported a definition of DOS information in terms of data + meaning.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Davis and Olson (1985)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Silver and Silver (1989)
- cites Checkland and Scholes (1990)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Interpretationnone given§ 7. Conclusion: summary of results and future developments · p. 17The standard definition of DOS information (SDI) provides necessary but insufficient conditions for the qualification of data as information.
“The standard definition of DOS information (SDI) provides necessary but insufficient conditions for the qualification of data as information.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ 5. Two good reasons to believe that false information is pseudo-information · p. 15'False information' does not pass the splitting test; it is not the case that p constitutes information about x and is also a falsehood.
“it is not the case, and hence it would be a mistake or an act of misinformation to assert, that p constitutes information about the number of natural satellites orbiting around the earth and is also a falsehood.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationreasoning§ 6. The standard definition of information revised · p. 16False information is not a type of information; it is pseudo-information or misinformation.
“misinformation (false information) has turned out to be not a type of information but rather pseudo-information.”
- Also stated in: § 6. The standard definition of information revised · p. 16 · plain
“False information is not an inferior kind of information; it just is not information.”
- Also stated in: § 6. The standard definition of information revised · p. 16 · plain
“[...] false information and mis-information are not kinds of information——any more than decoy ducks and rubber ducks are kinds of ducks.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Dretske (1981), 45
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Grice (1989), 371
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § 6. The standard definition of information revised · p. 16 · plain
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationcitation§ 6. The standard definition of information revised · p. 16'False information' is like 'false evidence': it is not an oxymoron, but a way of specifying that the contents in question do not conform to the situation they purport to map.
“it is not an oxymoron, but a way of specifying that the contents in question do not conform to the situation they purport to map.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 2.1. An Analysis of the Standard Definition of Information · p. 9SDI endorses four types of neutrality: TN, TaxN, ON and GN.
“it also endorses four types of neutrality: TN, TaxN, ON and GN.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ 5. Two good reasons to believe that false information is pseudo-information · p. 14The confusion about the nature of false information is generated by a misleading analogy.
“The confusion about the nature of false information seems to be generated by a misleading analogy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 5. Two good reasons to believe that false information is pseudo-information · p. 14The attributive use of an adjective can be either positive or negative.
“the attributive use can be either positive or negative.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 2.1. An Analysis of the Standard Definition of Information · p. 8S.4 is one of the earliest and most popular formulations of SDI.
“S.4 is one of the earliest and most popular formulations of SDI”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bateson (1973)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationreasoning§ 5. Two good reasons to believe that false information is pseudo-information · p. 15If false information were a genuine type of information, it should pass the splitting test; it does not, so it is not.
“If false information were a genuine type of information it should pass the splitting test. It does not, so it is not.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationcitation§ 6. The standard definition of information revised · p. 16To exchange false DOS information about x is to exchange no DOS information at all about x, only meaningful and well-formed data, that is semantic content.
“to exchange (receive, sell, buy, etc.) false DOS information about x, e.g. the number of moons orbiting around the earth, is to exchange (receive, sell, buy, etc.) no DOS information at all about x, only meaningful and well-formed data, that is semantic content.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ 7. Conclusion: summary of results and future developments · p. 17We ordinarily speak of false information when what we mean is misinformation, i.e. no information at all.
“we ordinarily speak of false information when what we mean is misinformation, i.e. no information at all.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationcitation§ 6. The standard definition of information revised · p. 16If data are not truthful, they can only constitute misinformation.
“if they are not truthful, they can only constitute misinformation”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ FI.1) FI can include genuine information. · p. 11FI can include genuine information only in the sense that FI is a compound in which only the true component B qualifies as information.
“this merely shows that FI is a compound in which only the true component B qualifies as information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2. The Standard Definition of Information · p. 3The bipartite account has begun to influence the philosophy of computing and information.
“More recently, the bipartite account has begun to influence the philosophy of computing and information as well”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Chalmers [1996]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Floridi [1999]
- cites Franklin [1995]
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ FI.4) FI can support decision-making processes. · p. 14There seem to be no good reasons to treat false information as a type of information.
“In conclusion, there seem to be no good reason to treat false information as a type of information.”
Quote in the paperNot a substantial claim- Rests on an assumption: Ordinary uses of technical words may be too generic and idiosyncratic, if not incorrect, to provide conceptual guidelines.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ 6. The standard definition of information revised · p. 16SDI needs to be modified to include a fourth condition about the positive alethic nature of the data in question.
“it follows that SDI needs to be modified, to include a fourth condition about the positive alethic nature of the data in question”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationreasoning§ FI.4) FI can support decision-making processes. · p. 12If a mathematical theorem p is false, then Q is misinformed (not informed) that p and does not have any information about the theorem.
“if the mathematical theorem is not correct (if p is false), it must be concluded that Q is misinformed (i.e. not informed) that p (Q does not have any information about the theorem).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 2.1. An Analysis of the Standard Definition of Information · p. 8SDI.3 only requires the δ to be provided with a semantics already.
“SDI.3 only requires the δ to be provided with a semantics already.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationreasoning§ 5. Two good reasons to believe that false information is pseudo-information · p. 14A false constable (attributive use) is not a specific type of constable, but not a constable at all.
“a false constable (attributive use) is clearly not a specific type of constable, but not a constable at all (negative use)”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 7. Conclusion: summary of results and future developments · p. 17DTT may be satisfactory as theories of truth-ascriptions while being inadequate as theories of truthfulness.
“DTT may be satisfactory as theories of truth-ascriptions while being inadequate as theories of truthfulness”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Objective semantic information is taken to have a declarative or factual value, i.e., it is supposed to be correctly qualifiable alethically.
“where objective semantic information is taken to have a declarative or factual value, i.e., it is suppose to be correctly qualifiable alethically.”
The paper relies on this without support.
The reasons considered in the paper are the main reasons for interpreting misinformation as a type of semantic information.
“none of the main reasons that could be adduced for interpreting false information as a type of information is convincing”
The authors state this as an assumption.
The rejection of FI alone is sufficient to force a revision of AN and hence of SDI.
“For the sake of simplicity, in the rest of this article only the rejection of FI will be pursued”
The paper relies on this without support.
Sources of information are usually supposed to be truth-oriented or truth-tracking by default.
“sources of information are usually supposed to be truth-oriented or truth-tracking by default”
The paper relies on this without support.
The cloth of semantic information can be, and indeed is, often undone by equally semantic means.
“We know that the cloth of semantic information can be, and indeed is, often undone by equally semantic means.”
The paper relies on this without support.
Ordinary uses of technical words may be too generic and idiosyncratic, if not incorrect, to provide conceptual guidelines.
“ordinary uses of technical words may be too generic and idiosyncratic, if not incorrect, to provide conceptual guidelines.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The most articulate defense of VTNN has been offered by Floridi (2005, 2007).
“The most articulate defense of VTNN has been offered by Floridi (2005, 2007), who gives two main arguments in support of the thesis that false ''nonnatural information'' is not really information: the argument from splitting and the argument from semantic loss .”
From INFORMATION WITHOUT TRUTH (2010) · cites this paper as Floridi 2005
Floridi gives two main arguments in support of the thesis that false nonnatural information is not really information: the argument from splitting and the argument from semantic loss.
“The most articulate defense of VTNN has been offered by Floridi (2005, 2007), who gives two main arguments in support of the thesis that false ''nonnatural information'' is not really information: the argument from splitting and the argument from semantic loss .”
From INFORMATION WITHOUT TRUTH (2010) · cites this paper as Floridi 2005
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Chalmers citation year disagrees with reference list
MinorThe text cites Chalmers as a 1996 source, while the reference list gives the Chalmers entry as 1997.
“Chalmers [1996]”
“Chalmers, D. J. 1997, The Conscious Mind: in Search of a Fundamental Theory (Oxford: Oxford University Press).”
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Floridi, L. (2004) · Minds and Machines · doi:10.1023/b:mind.0000021684.50925.c9 · Cited by 255 · see citing works
Self-citationWhat is the Philosophy of Information?
Floridi, L. (2002) · Metaphilosophy · doi:10.1111/1467-9973.00221 · Cited by 237 · see citing works
Self-citationThe Internet: a philosophical inquiry
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Philosophy and computing: an introduction
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The Blackwell Guide to the Philosophy of Computing and Information
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Self-citationInformation, language and cognition
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Information and Misinformation
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Philosophical Aspects of Information Systems
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The Nature of Information and Its Relationship to Meaning
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Entropy, informantion, and decision
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Flagged first, then by citations
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Cited by
Sorted by citations
Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior
(2016) · Studies in information · doi:10.1108/s2055-53772016 · Cited by 1,537 · see citing works
Floridi, L. (2019) · doi:10.1093/oso/9780198833635.001.0001 · Cited by 297 · see citing works
Self-citationToward Ethical Information Systems: The Contribution of Discourse Ethics1
Mingers, J., & Walsham, G. (2010) · MIS Quarterly · doi:10.2307/25750707 · Cited by 271 · see citing works
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
Lan, Q., Wen, D., Zhang, Z., Zeng, Q., Chen, X., Popovski, P., & Huang, K. (2021) · Journal of Communications and Information Networks · doi:10.23919/jcin.2021.9663101 · Cited by 258 · see citing works
Information processing, computation, and cognition
Piccinini, G., & Scarantino, A. (2010) · Journal of Biological Physics · doi:10.1007/s10867-010-9195-3 · Cited by 241 · see citing works
A defence of informational structural realism
Floridi, L. (2007) · Synthese · doi:10.1007/s11229-007-9163-z · Cited by 195 · see citing works
“In this technical sense, one never deals epistemically with pure data but only with somewhat interpreted data (in semantics, this is often referred to as content , see Floridi (2005b)).”
BackgroundSelf-citationFour challenges for a theory of informational privacy
Floridi, L. (2006) · Ethics and Information Technology · doi:10.1007/s10676-006-9121-3 · Cited by 160 · see citing works
Self-citationInformation About Information: A Taxonomy of Views1
McKinney, & Yoos, C. J. (2010) · MIS Quarterly · doi:10.2307/20721430 · Cited by 158 · see citing works
von der Gracht, H. A., Vennemann, C. R., & Darkow, I. (2009) · Futures · doi:10.1016/j.futures.2009.11.023 · Cited by 157 · see citing works
How many dimensions of biodiversity do we need?
Lyashevska, O., & Farnsworth, K. D. (2012) · Ecological Indicators · doi:10.1016/j.ecolind.2011.12.016 · Cited by 142 · see citing works
Philosophical Conceptions of Information
Floridi, L. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00659-3_2 · Cited by 125 · see citing works
“…Information Science, in Information Systems Theory, Methodology, Analysis and Design, in Information (Systems) Management, in Database Design and in Decision Theory have adopted a General Definition of Information (GDI) in terms of data + meaning (see Floridi 2005b) for an extended bibliography).”
MethodSelf-citationLiving is Information Processing: From Molecules to Global Systems
Farnsworth, K. D., Nelson, J., & Gershenson, C. (2013) · Acta Biotheoretica · doi:10.1007/s10441-013-9179-3 · Cited by 122 · see citing works
“space/time and matter/energy) which has grown within physics over the past several decades, accompanied by a new philosophical position which places information at the core of determining reality [termed ‘Informational Structural Realism’ by Floridi (2003)].”
BackgroundInfluentialSCARANTINO, A., & PICCININI, G. (2010) · Metaphilosophy · doi:10.1111/j.1467-9973.2010.01632.x · Cited by 119 · see citing works
Torres, R., Gerhart, N., & Negahban, A. (2018) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/3242734.3242740 · Cited by 113 · see citing works
“Important in our selection of this particular view of information is the acknowledgement that information has meaning to the cognitive agent and that this meaning is rooted in truth (Capurro & Hjørland, 2003; Floridi, 2005).”
BackgroundComputation vs. information processing: why their difference matters to cognitive science
Piccinini, G., & Scarantino, A. (2010) · Studies in History and Philosophy of Science Part A · doi:10.1016/j.shpsa.2010.07.012 · Cited by 106 · see citing works
Understanding Epistemic Relevance
Floridi, L. (2007) · Erkenntnis · doi:10.1007/s10670-007-9087-5 · Cited by 102 · see citing works
“Regarding the former, we now have a clear analysis; regarding the latter, elsewhere (Floridi 2005b) I have shown that misinformation is ‘‘well-formed and meaningful data (i.e. semantic content) that is false’’.”
BackgroundSelf-citationA Conceptual Analysis of Disinformation
Fallis, D. (2009) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 101 · see citing works
Algorithmic detection of misinformation and disinformation: Gricean perspectives
Søe, S. O. (2017) · Journal of Documentation · doi:10.1108/jd-05-2017-0075 · Cited by 94 · see citing works
““ Inaccurate information (or misinformation) can mislead people whether it results from an honest mistake, negligence, unconscious bias, or (as in the case of disinformation) intentional deception ” (Fallis, 2014, p. 136).”
BackgroundMethodInfluentialPhilosophy and information studies
Furner, J. (2010) · Annual Review of Information Science and Technology · doi:10.1002/aris.2010.1440440111 · Cited by 82 · see citing works
Impossible Worlds and the Logic of Imagination
Berto, F. (2017) · Erkenntnis · doi:10.1007/s10670-017-9875-5 · Cited by 81 · see citing works
An integrative semiotic framework for information systems: The social, personal and material worlds
Mingers, J., & Willcocks, L. P. (2014) · Information and Organization · doi:10.1016/j.infoandorg.2014.01.002 · Cited by 79 · see citing works
“Similar ideas have been proposed recently by Floridi (2005, 2011).”
BackgroundThe need for ‘skeptical’ accountants in the era of Big Data
McKinney, E. H., Yoos, C. J., & Snead, K. C. (2017) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2016.12.007 · Cited by 80 · see citing works
Information, Ethics, and Computers: The Problem of Autonomous Moral Agents
Stahl, B. C. (2003) · Minds and Machines · doi:10.1023/b:mind.0000005136.61217.93 · Cited by 75 · see citing works
“Floridi, forthcoming ). Critics might point out that this relationship of information and truth is tautological.”
BackgroundA unified account of information, misinformation, and disinformation
Søe, S. O. (2019) · Synthese · doi:10.1007/s11229-019-02444-x · Cited by 74 · see citing works
“As such, information and misinformation are opposites and disinformation is the part of misinformation that is purposefully misleading (Floridi 2005a, b).”
InfluentialThe Informational Turn in Philosophy1
Adams, F. (2003) · Minds and Machines · doi:10.1023/a:1026244616112 · Cited by 74 · see citing works
Semantic information and the network theory of account
Floridi, L. (2010) · Synthese · doi:10.1007/s11229-010-9821-4 · Cited by 72 · see citing works
“3 See for example the discussion in Fetzer (2004), who criticises Floridi (2004c), with a reply in Floridi (2005); or the objections moved by Colburn (2000a), Colburn (2000b) and Dodig-Crnkovic (2005).”
BackgroundSelf-citationA computational interpretation of conceptivism
Ferguson, T. M. (2014) · Journal of Applied Non-Classical Logics · doi:10.1080/11663081.2014.980116 · Cited by 68 · see citing works
“In Floridi (2005, p. 355), Luciano Floridi gave an example that illustrates this distinction well.”
BackgroundExploring Knowledge Entropy in Organizations
Brătianu, C. (2019) · Management Dynamics in the Knowledge Economy · doi:10.25019/mdke/7.3.05 · Cited by 67 · see citing works
“Floridi (2005, 2012, 2013) performs a philosophical analysis of the extensional interpretation of the information and information entropy concepts showing the difficulties and limitations of that extension.”
BackgroundAlgorithmic rationality: Epistemology and efficiency in the data sciences
Lowrie, I. (2017) · Big Data & Society · doi:10.1177/2053951717700925 · Cited by 69 · see citing works
“In so doing, I am somewhat short-circuiting ongoing debates in the second-order sociology and philosophy of science about the definition of data (Leonelli, 2015) and information (Floridi, 2005).”
BackgroundThe Philosophy of Information: Ten Years Later
Floridi, L. (2011) · doi:10.1002/9781444396836.ch10 · Cited by 66 · see citing works
Self-citationField and Airborne Spectroscopy Cross Validation—Some Considerations
Hueni, A., Damm, A., Kneubühler, M., et al. (2016) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2016.2593984 · Cited by 65 · see citing works
Semantic Information and the Correctness Theory of Truth
Floridi, L. (2010) · Erkenntnis · doi:10.1007/s10670-010-9249-8 · Cited by 61 · see citing works
“3 See for example the discussion in Fetzer (2004), with a reply in Floridi (2005); or the objections moved by Colburn (2000a, b) and Dodig-Crnkovic (2005).”
BackgroundSelf-citationDigital hermeneutics: from interpreting with machines to interpretational machines
Romele, A., Severo, M., & Furia, P. (2018) · AI & Society · doi:10.1007/s00146-018-0856-2 · Cited by 61 · see citing works
“In the semantic theory of information developed by Floridi (2005, 2010, 2015) this perspective has been neglected, because semantic information is defined as meaningful (and true) per se.”
BackgroundThe enduring scandal of deduction
D’Agostino, M., & Floridi, L. (2008) · Synthese · doi:10.1007/s11229-008-9409-4 · Cited by 60 · see citing works
“This is what is often meant by saying that tautologies and inferences are “analytical”.2 1 Floridi (2004, 2005), see Bremer and Cohnitz (2004, Chap.”
BackgroundSelf-citationNotes from the underground city of disinformation: A conceptual investigation
Karlova, N., & Lee, J. H. (2011) · Proceedings of the American Society for Information Science and Technology · doi:10.1002/meet.2011.14504801133 · Cited by 58 · see citing works
“Building from Dretske (1983), Floridi (2005, 2010) argued that because false information is not information and because misinformation and disinformation are false, neither misinformation nor disinformation qualifies as information.”
BackgroundAdolwa, I. S., Okoth, P. F., Mulwa, R. M., et al. (2012) · The Journal of Agricultural Education and Extension · doi:10.1080/1389224x.2012.638782 · Cited by 55 · see citing works
Syntactical Informational Structural Realism
Beni, M. D. (2018) · Minds and Machines · doi:10.1007/s11023-018-9463-8 · Cited by 53 · see citing works
“The amount of informativeness of each ri is evaluated as a function of the alethic value possessed by ri (Floridi 2005, 205).”
BackgroundSimple Hyperintensional Belief Revision
Berto, F. (2018) · Erkenntnis · doi:10.1007/s10670-018-9971-1 · Cited by 52 · see citing works
“2 If, as claimed e.g. by Floridi (2005), information is factive, that is, being informed that / entails / , then there cannot be inconsistent information unless, as believed by dialetheists like Priest (1987), there are true contradictions.”
BackgroundOrganised complexity, meaning and understanding
Bawden, D. (2007) · Aslib Journal of Information Management · doi:10.1108/00012530710817546 · Cited by 52 · see citing works
“Floridi (2005), an exponent of a new interest in the “philosophy of information” within the discipline of philosophy itself, recasts the idea of knowledge as “justified, true belief” into the idea that information is “well-formed, meaningful and truthful data”[15].”
BackgroundFrom Knowledge to Wisdom: Looking beyond the Knowledge Hierarchy
Brătianu, C., & Bejinaru, R. (2023) · Knowledge · doi:10.3390/knowledge3020014 · Cited by 50 · see citing works
“He focused on information from a philosophical perspective, trying to extend the work done by other researchers in defining semantic information [26,27].”
BackgroundTurilli, M. (2007) · Ethics and Information Technology · doi:10.1007/s10676-006-9128-9 · Cited by 48 · see citing works
TRENDS IN THE PHILOSOPHY OF INFORMATION
Floridi, L. (2008) · Elsevier eBooks · doi:10.1016/b978-0-444-51726-5.50009-1 · Cited by 48 · see citing works
Self-citationOn Quantifying Semantic Information
D’Alfonso, S. (2011) · Information · doi:10.3390/info2010061 · Cited by 45 · see citing works
“Without getting caught up in the veridicality thesis debate [22,23], in this paper semantic information is defined as true semantic content and semantic misinformation is defined as false semantic content.”
BackgroundInfluentialCyber-Physical Systems of Systems
Bondavalli, A., Bouchenak, S., & Kopetz, H. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47590-5 · Cited by 44 · see citing works
Santos-d’Amorim, K., & Miranda, M. K. F. D. O. (2021) · Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação · doi:10.5007/1518-2924.2021.e76900 · Cited by 56 · see citing works
Social welfare implications of the digital divide
Kim, E., Lee, B., & Menon, N. M. (2009) · Government Information Quarterly · doi:10.1016/j.giq.2008.11.004 · Cited by 42 · see citing works
INFORMATION IN COMPUTER SCIENCE
Dunn, J. M. (2008) · Elsevier eBooks · doi:10.1016/b978-0-444-51726-5.50019-4 · Cited by 39 · see citing works
Consciousness: a unique way of processing information
Marchetti, G. (2018) · Cognitive Processing · doi:10.1007/s10339-018-0855-8 · Cited by 42 · see citing works
“For example, Egyptian hieroglyphics were already regarded as information before the discovery of the Rosetta Stone, even if their semantics was beyond the comprehension of any interpreter (see, Floridi 2005).”
BackgroundThe Metaphilosophy of Information
Sequoiah-Grayson, S. (2007) · Minds and Machines · doi:10.1007/s11023-007-9072-4 · Cited by 40 · see citing works
PUTTING INFORMATION FIRST: LUCIANO FLORIDI AND THE PHILOSOPHY OF INFORMATION
Allo, P. (2010) · Metaphilosophy · doi:10.1111/j.1467-9973.2010.01646.x · Cited by 39 · see citing works
A Critical Analysis of Floridi’s Theory of Semantic Information
Adriaans, P. (2010) · Knowledge, technology & policy/Knowledge in society/Knowledge, technology, & policy · doi:10.1007/s12130-010-9097-5 · Cited by 40 · see citing works
“…survey I did among colleagues a couple of years ago revealed that almost none of them took these distinctions to be very clear or valuable, but from the writings of Floridi we learn that there exist ‘ consensus ’ on a general definition of information (GDI) as: data + meaning (Floridi 2005a, b).”
Kettinger, W. J., Zhang, C., & Chang, K. (2013) · Information Systems Research · doi:10.1287/isre.1120.0473 · Cited by 39 · see citing works
Spence, E. H. (2011) · Ethics and Information Technology · doi:10.1007/s10676-011-9265-7 · Cited by 38 · see citing works
Using FLOW to Improve Communication of Requirements in Globally Distributed Software Projects
Stapel, K., Knauss, E., & Schneider, K. A. (2009) · doi:10.1109/circus.2009.6 · Cited by 37 · see citing works
“Information is data plus meaning [16].”
Perception and Testimony as Data Providers
Floridi, L. (2013) · Studies in history and philosophy of science · doi:10.1007/978-94-007-6973-1_4 · Cited by 36 · see citing works
“This will build upon the naturalistic, action-based semantics developed in (Floridi 2011; Taddeo and Floridi 2005, 2007), and provide the missing link between that kind of semantics and the richer, more convention-based semantics enjoyed by Alice and Bob when having an ordinary conversation,…”
BackgroundMethodSelf-citationAlbrecht, J. (2020) · Geographic Information Science & Technology Body of Knowledge · doi:10.22224/gistbok/2020.2.1 · Cited by 35 · see citing works
Simion, M. (2023) · Episteme · doi:10.1017/epi.2023.25 · Cited by 35 · see citing works
“The American Library Association (2005) has issued a ‘ Resolution on Disinformation, Media Manipulation, and the Destruction of Public Information.”
BackgroundDo we have moral duties towards information objects?
Brey, P. A. E. (2008) · Ethics and Information Technology · doi:10.1007/s10676-008-9170-x · Cited by 35 · see citing works
“In his own philosophical theory of information, for example, Floridi distinguishes between two kinds of information, semantic and environmental, both of which he describes as receiverrelative (Floridi 2005a, b).”
BackgroundThe logic of ‘being informed’ revisited and revised
Allo, P. (2010) · Philosophical Studies · doi:10.1007/s11098-010-9516-1 · Cited by 33 · see citing works
An Illustrated Introduction to the Infosphere
Martens, B. V. D. V. (2015) · Library trends · doi:10.1353/lib.2015.0006 · Cited by 32 · see citing works
“Levels of Abstraction and Gradients of Abstraction The LoA method is adapted from formalized modeling often used in information system design (Greco, Paronitti, Turilli, & Floridi, 2005), which in itself draws from metaphysics, particularly ontological design (Artz, 1997).”
BackgroundMethodInfluentialWhat is Information? A multidimensional concern
Nafría, J. M. D. (2010) · tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society · doi:10.31269/triplec.v8i1.76 · Cited by 34 · see citing works
“…information – such as in Weaver (Shannon & Weaver 1949) – while others consider a weak restriction allowing a large margin of freedom (Sloman 1978, Floridi 2005c, §4).18 In Figure 2 (not trying to be exhaustive once again), it is shown the extent to which each concept answers to the posed…”
BackgroundMethodInfluentialBig Data, digital demand and decision-making
Green, S., McKinney, E. H., Heppard, K. A., & Garcia, L. (2018) · International Journal of Accounting and Information Management · doi:10.1108/ijaim-02-2017-0019 · Cited by 31 · see citing works
Saab, D. J., & Riss, U. V. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21615 · Cited by 30 · see citing works
“It regards information as a process that changes the subject’s”
BackgroundInfluentialFloridi’s “Open Problems in Philosophy of Information”, Ten Years Later
Dodig-Crnković, G., & Hofkirchner, W. (2011) · Information · doi:10.3390/info2020327 · Cited by 30 · see citing works
A semantic-based framework for automated rule checking in healthcare construction projects
Soliman-Junior, J., Formoso, C. T., & Tzortzopoulos, P. (2019) · Canadian Journal of Civil Engineering · doi:10.1139/cjce-2018-0460 · Cited by 30 · see citing works
The Paradox of Inference and the Non-Triviality of Analytic Information
Duží, M. (2010) · Journal of Philosophical Logic · doi:10.1007/s10992-010-9127-5 · Cited by 30 · see citing works
“My starting-point is the characterisation of information as being objective and semantic, as found in Floridi (2004, 2005).”
BackgroundMethodBiology transcends the limits of computation
Marshall, P. (2021) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2021.04.006 · Cited by 29 · see citing works
Problems with theories that equate consciousness with information or information processing
Pockett, S. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00225 · Cited by 27 · see citing works
“In information philosophy, Floridi (2005) says “ ‘information’ is often used to refer to non-mental, user-independent, declarative semantic contents, embedded in physical implementations like databases, encyclopedias, web sites, television programmes and so on. . . the Cambridge Dictionary of…”
BackgroundA Conceptual Model for the Information Transfer in Systems-of-Systems
Kopetz, H. (2014) · IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2014.19 · Cited by 26 · see citing works
Functional complexity: The source of value in biodiversity
Farnsworth, K. D., Lyashevska, O., & Fung, T. (2012) · Ecological Complexity · doi:10.1016/j.ecocom.2012.02.001 · Cited by 26 · see citing works
“This definition coincides with the ‘diaphoric definition of data’ (Floridi, 2003, 2005), in which a binary (Boolean) bit is the unit of data and a bit is a single difference in any system.”
MethodBasic Concepts on Systems of Systems
Ceccarelli, A., Bondavalli, A., Frömel, B., Höftberger, O., & Kopetz, H. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47590-5_1 · Cited by 27 · see citing works
An epistemic logic for becoming informed
Primiero, G. (2008) · Synthese · doi:10.1007/s11229-008-9413-8 · Cited by 25 · see citing works
“This basic definition has been extended in Floridi (2004, 2005), where Semantic Information is defined as meaningful, well-formed and veridical data (TSSI).”
BackgroundInfusing Ethical Considerations in Knowledge Management Scholarship: Toward a Research Agenda
Chatterjee, S., & Sarker, S. (2013) · Journal of the Association for Information Systems · doi:10.17705/1jais.00339 · Cited by 25 · see citing works
The SPECCHIO Spectral Information System
Hueni, A., Chisholm, L., Ong, C. C. H., et al. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.3025117 · Cited by 24 · see citing works
THE PHILOSOPHY OF INFORMATION: TEN YEARS LATER
Floridi, L. (2010) · Metaphilosophy · doi:10.1111/j.1467-9973.2010.01647.x · Cited by 23 · see citing works
Self-citationWhat Is Nature-Like Computation? A Behavioural Approach and a Notion of Programmability
Zenil, H. (2013) · Philosophy & Technology · doi:10.1007/s13347-012-0095-2 · Cited by 23 · see citing works
System Modeling and Information Semantics
Dodig-Crnković, G. (2005) · Chalmers Research (Chalmers University of Technology) · Cited by 23 · see citing works
Floridi, L. (2004) · doi:10.1002/9780470757017.ch4 · Cited by 23 · see citing works
Self-citationProtecting infrastructure performance from disinformation attacks
Jamalzadeh, S., Barker, K., González, A. D., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-16832-w · Cited by 21 · see citing works
“Among all critical infrastructures, the electric power grid has been attractive to scholars for several reasons: (1) the electric power grid has been at great risk of attack and threats tremendously74; (2) electric power grid has been relatively more expensive than other infrastructures75; (3) the electric grid is one…”
BackgroundInformation Ethics as a Guide for New Media
Spence, E. H., & Quinn, A. (2008) · Journal of Mass Media Ethics · doi:10.1080/08900520802490889 · Cited by 21 · see citing works
Dinneen, J. D., & Brauner, C. (2015) · Library trends · doi:10.1353/lib.2015.0012 · Cited by 21 · see citing works
“In retort to arguments like these, Floridi (2005) has provided reasons why various resistances to the veridicality thesis are flawed.”
BackgroundKnowledge transfer: an information theory perspective
Sudhindra, S., Ganesh, L. S., & Kaur, A. (2017) · Knowledge Management Research & Practice · doi:10.1057/s41275-017-0060-z · Cited by 21 · see citing works
“More specifically, information theory has been used to explore the constructs of knowledge, information, data and their relationships (Birch 2014; Dretske 1981, 2008; Floridi 2005).”
BackgroundMethodLOGICAL PLURALISM AND SEMANTIC INFORMATION
Allo, P. (2007) · Journal of Philosophical Logic · doi:10.1007/s10992-007-9054-2 · Cited by 21 · see citing works
“9 It is nevertheless important to distinguish the user-independence posited by Floridi (2005) (also referred to as the genetic neutrality of semantic information) from Dretske’s more radical (language independent) realism, according to which a user-independent meaning is to be situated at the level…”
BackgroundInfluentialThe Logic of Fast and Slow Thinking
Solaki, A., Berto, F., & Smets, S. (2019) · Erkenntnis · doi:10.1007/s10670-019-00128-z · Cited by 20 · see citing works
“…a communicative action whereby the source is mostly, but not entirely, trusted; the updated model triggered by [ ⇑] is one where the -satisfying worlds are prioritized in terms of plausibility over the 4 If, as Floridi (2005) claims, information is factive, then there cannot be false information.”
BackgroundInformation Ethics and the Library Profession
Mathiesen, K., & Fallis, D. (2008) · doi:10.1002/9780470281819.ch9 · Cited by 20 · see citing works
Kerr, E. T., & Pritchard, D. (2012) · Philosophy of engineering and technology · doi:10.1007/978-94-007-4292-5_10 · Cited by 19 · see citing works
Prefiguring Floridi’s Theory of Semantic Information
Mingers, J. (2013) · tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society · doi:10.31269/triplec.v11i2.436 · Cited by 19 · see citing works
“The principal argument is very simple – proper quantification (of the sort implied by Floridi’s (2009b) Figure 5 ) requires that the constructs to be quantified can be measured on an interval scale of measurement but much semantic content, especially of a linguistic kind, can only be measured on nominal or ordinal sca…”
BackgroundMethodInfluentialA universal model for the normative evaluation of internet information
Spence, E. H. (2009) · Ethics and Information Technology · doi:10.1007/s10676-009-9204-z · Cited by 19 · see citing works
“For information without truth is not strictly speaking information but either misinformation (the unintentional dissemination of well-formed and meaningful 2 Floridi (2005a).”
BackgroundInfluentialA Unified Approach to Semantic Information and Communication Based on Probabilistic Logic
Choi, J., Loke, S. W., & Park, J. (2022) · IEEE Access · doi:10.1109/access.2022.3228563 · Cited by 19 · see citing works
“One focuses on measuring semantic similarity [8], [9], which often encourages a new way to define meaningful information.”
BackgroundInformation and knowledge à la Floridi
Adams, F. (2011) · doi:10.1002/9781444396836.ch6 · Cited by 19 · see citing works
Epistemology of Construction Informatics
El-Diraby, T. E. (2011) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000392 · Cited by 18 · see citing works
Nutrigenomic regulation of sensory plasticity
Sung, H., Vaziri, A., Wilinski, D., Woerner, R. K. R., Freddolino, P. L., & Dus, M. (2023) · eLife · doi:10.7554/elife.83979 · Cited by 18 · see citing works
Information, meaning and animal communication
Adams, F., & Beighley, S. M. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139003551.024 · Cited by 18 · see citing works
Khan, S. A., Ojiako, U., Marshall, A. J., et al. (2022) · Engineering Management Journal · doi:10.1080/10429247.2022.2041963 · Cited by 17 · see citing works
The Value of Information: Normativity, Epistemology, and LIS in Luciano Floridi
Fyffe, R. C. (2015) · portal Libraries and the Academy · doi:10.1353/pla.2015.0020 · Cited by 17 · see citing works
How an information perspective helps overcome the challenge of biology to physics
Farnsworth, K. D. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104683 · Cited by 16 · see citing works
Informational Semantics as a Third Alternative?
Allo, P., & MARES, E. D. (2011) · Erkenntnis · doi:10.1007/s10670-011-9356-1 · Cited by 16 · see citing works
The Philosophical Problem of Truth in Librarianship
Labaree, R. V., & Scimeca, R. (2007) · The Library Quarterly · doi:10.1086/523909 · Cited by 16 · see citing works
Semantic Information and the Trivialization of Logic: Floridi on the Scandal of Deduction
D’Agostino, M. (2013) · Information · doi:10.3390/info4010033 · Cited by 16 · see citing works
Automated interpretation of key performance indicator values and its application in education
Tomić, B., & Milić, T. (2012) · Knowledge-Based Systems · doi:10.1016/j.knosys.2012.08.006 · Cited by 15 · see citing works
“It is generally accepted that data becomes information when meaning is added to it [7,13]:”
Background
- Authors
- FLORIDI, L.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- FLORIDI, LUCIANO
- ORCID
- FLORIDI, LUCIANO
- Venue
- Philosophy and Phenomenological Research
- Publisher
- Wiley
- Published
- 2005-03
- Volume
- 70
- Issue
- 2
- Pages
- 351-370
- ISSN
- 0031-8205 (ISSN-L)
- 1933-1592
- OpenAlex
- W2059974307
- Semantic Scholar
- 2af4a76b5eac94619fac8f2a44d008de8f94d58a
- Cited by
- 375
- References
- 40
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 14 · 2023: 21 · 2022: 17 · 2021: 15 · 2020: 11 · 2019: 30 · 2018: 18 · 2017: 19 · 2016: 23 · 2015: 27 · 2014: 20 · 2013: 20 · 2012: 17
- FWCI
- 97.33
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Philosophy and Phenomenological Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Physical Sciences › Computer Science › Information Systems › Scientific Research and Philosophical Inquiry
- Keywords
- semantic information, misinformation, truth conditions, definition of information
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-28.
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