Cited by 54Multi-Agent Systems and NegotiationInnovative Human-Technology InteractionData Visualization and Analytics

Socially augmented argumentation tools: Rationale, design and evaluation of a debate dashboard

Open access
Iandoli, Luca, Quinto, Ivana, De Liddo, Anna, Buckingham Shum, Simon·2014·International Journal of Human-Computer Studies

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ijhcs.2013.08.006

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 92 · Cited by 54

Research works printed but not linked: 7

  1. Hall R., Miyake N., and Enyedy N. (Eds.), In CSCL'97 Proceedings of the 2nd International conference on Computer Supported Collaborative Learning, 10-20.
  2. Kirschner, P.A., Buckingham Shum, S., and Carr, C.S. (Eds.) Visualizing Argumentation - Software Tools for Collaboration and Educational Sense-making, Springer-Verlag, London, 75-96.
  3. Erickson, T., Kellogg, W.A. 2002. Knowledge Communities: Online Environments for Supporting Knowledge management and its Social Context, in Ackerman M.A., Pipek, V., and Wolf, W. (Eds.) Beyond knowledge management: Sharing expertise, MIT Press, Cambridge, MA.
  4. Hair, D.C. 1991. Legalese: A legal argumentation tool. SIGCHI Bulletin, 23(1), 71-74.
  5. McDonald, D.W., Beschastnikh, I., Kriplean, T., Borning, A., Zachry, M. 2009, System Design for Social Translucence in Socially Mediating Technologies. Socially Mediating Technologies Workshop at the ACM 2009 SIGCHI Conference on Human Factors in Computing Systems (CHI'09).
  6. Royal, M.A., Rossi, R.J. 1996. Individual-level correlates of sense of community: Findings from workplace and school. Journal of Community Psychology, 24(4), 395-416.
  7. Toulmin, S. 1958. The use of Arguments, Cambridge University Press, Cambridge (MA).

Authors
Iandoli, L., Quinto, I., De Liddo, A., & Buckingham Shum, S.
Affiliations
  • Stevens Institute of Technology (US)
  • University of Naples Federico II (IT)
Corresponding author
Iandoli, Luca
Venue
International Journal of Human-Computer Studies
Publisher
Elsevier BV
Published
2014-03
Volume
72
Issue
3
Pages
298-319
ISSN
1071-5819 (ISSN-L)
OpenAlex
W1974565354
Cited by
54
References
92
Citations by year
2026: 5 · 2025: 5 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 8 · 2015: 3 · 2014: 3
FWCI
5.16
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • International Journal of Human-Computer Studies (publishedVersion)
  • Open Research Online (The Open University) (submittedVersion, other-oa)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
  • CINECA IRIS Institutial research information system (Parthenope University of Naples) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
Keywords
collective deliberation, argument visualization, online forums, collaborative knowledge building, participant interaction, usability, mutual understanding, decision accuracy

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review