The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Blogs of Information: How Gender Cues and Individual Motivations Influence Perceptions of Credibility
Open accessAbstract
This study examines how gender cues influence perceptions of credibility of informational blogs. Using 2 experiments for data collection, this study manipulated the gender descriptors of a Weblog authors and had participants rate the overall perceived credibility of 1 of 3 blog posts. Male authors were deemed more credible than female authors, and main effects were found for information seekers, who found the blogs more credible than noninformation seekers. Implications are discussed.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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 cited source says what the claim attributes to it.
In the citing paper
“This can introduce bias because (an author's) gender impacts on the experience of grief, the theme of some of our texts (Bierhals et al., 1996;Schwab, 1996), and on readers' perception of authorial skills (Armstrong & McAdams, 2009;Paludi & Strayer, 1985;Weinberg & Kapelner, 2018).”
From The effects of reading narrative fiction on social and moral cognition (2021) · cites this paper as Armstrong & McAdams, 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Advances In Experimental Social Psychology
(2022) · Advances in experimental social psychology · doi:10.1016/s0065-2601(22)x0002-6 · Cited by 22,559
(1999) · Cited by 6,104
Uses and Gratifications Research
Katz, E., Blumler, J. G., & Gurevitch, M. (1973) · Public Opinion Quarterly · doi:10.1086/268109 · Cited by 4,012
Fiske, S. T., & Neuberg, S. L. (1990) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60317-2 · Cited by 3,367
Gender stereotypes stem from the distribution of women and men into social roles.
Eagly, A. H., & Steffen, V. J. (1984) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.46.4.735 · Cited by 1,848
Papacharissi, Z., & Rubin, A. M. (2000) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4402_2 · Cited by 1,826
A dual process model of impression formation.
Brewer, M. B. (1988) · Cited by 1,499
Hastie, R., & Park, B. (1986) · Psychological Review · doi:10.1037/0033-295x.93.3.258 · Cited by 1,109
Digital Media, Youth, and Credibility
Metzger, M. J., & Flanagin, A. J. (2007) · Cited by 1,036
Structure of gender stereotypes: Interrelationships among components and gender label.
Deaux, K., & Lewis, L. L. (1984) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.46.5.991 · Cited by 1,032
Research works printed but not linked: 5
- Bruns, 2006, Uses of blogs, 1
- Herring, 2004, Into the Blogosphere: Rhetoric, Community and Culture of Weblogs
- Johnson, T. J. , & Kaye, B. K. ((2003). August). The world wide web of sports: A path model examining how online gratifications and reliance predict credibility of online sports information. Paper presented at the Annual Conference for Association for Educators in Journalism and Mass Communication, Kansas City, MO.
- Pew Research Center for the People and the Press. (2005). Public more critical of press, but goodwill persists. Retrieved March 28, 2006 from http://people-press.org/reports/display.php3?ReportID=248.
- Pew Research Center for the People & the Press (2008). Social networking and online videos take off: Internet's broader role in campaign 2008. Retrieved March 29, 2008 from http://www.pewinternet.org/pdfs/Pew_MediaSources_jan08.pdf.
Cited by
Sorted by citations
Information credibility on twitter
Castillo, C., Mendoza, M., & Poblete, B. (2011) · Proceedings of the 20th international conference on World wide web · doi:10.1145/1963405.1963500 · Cited by 2,593
News sharing in social media: The effect of gratifications and prior experience
Lee, C.-S., & Ma, L. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.10.002 · Cited by 1,259
Social Media in Disaster Risk Reduction and Crisis Management
Alexander, D. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-013-9502-z · Cited by 593
Chen, Y., Shang, R., & Li, M.-J. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.019 · Cited by 422
López, M., & Piñero, M. S. (2014) · Journal of Interactive Advertising · doi:10.1080/15252019.2014.944288 · Cited by 138
Metadata
- Authors
- Armstrong, C. L., & McAdams, M. J.
- Affiliations
- University of Florida (US)
- ORCID
- Armstrong, Cory L.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-04
- Volume
- 14
- Issue
- 3
- Pages
- 435-456
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W1969812592
- Cited by
- 179
- References
- 54
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 11 · 2022: 11 · 2021: 15 · 2020: 22 · 2019: 23 · 2018: 8 · 2017: 10 · 2016: 6 · 2015: 11 · 2014: 6 · 2013: 12 · 2012: 10
- FWCI
- 37.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Computer-Mediated Communication (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Decision Sciences › Information Systems and Management › Knowledge Management and Sharing
- Keywords
- gender cues, perceived credibility, bloggers, author gender, information seekers, personal motivation, gender stereotypes, online information seeking
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