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Correlation analysis of reader's demographics and tweet credibility perception

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conference contribution
posted on 2024-11-23, 06:11 authored by Shafiza Mohd Shariff, Mark SandersonMark Sanderson, Xiuzhen ZhangXiuzhen Zhang
When searching on Twitter, readers have to determine the credibility level of tweets on their own. Previous work has mostly studied how the text content of tweets in uences credibility perception. In this paper, we study reader demographics and information credibility perception on Twitter. We nd reader's educational background and geolocation have signi cant correlation with credibility perception. Further investigation reveals that combinations of demographic attributes correlating with credibility perception are insigni cant. Despite di erences in demographics, readers nd features regarding topic keyword and the writing style of a tweet to be independently helpful in perceiving tweets' credibility. While previous studies reported the use of features independently, our result shows that readers use combination of features to help in making credibility perception of tweets.

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Australian Research Council

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  1. 1.
    DOI - Is published in 10.1007/978-3-319-30671-1_33
  2. 2.
    ISBN - Is published in 9783319306711 (urn:isbn:9783319306711)

Start page

453

End page

465

Total pages

13

Outlet

Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016

Editors

Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello

Name of conference

38th European Conference on IR Research, ECIR 2016

Publisher

Springer

Place published

Padua, Italy

Start date

2016-03-20

End date

2016-03-23

Language

English

Copyright

© Springer International Publishing Switzerland 2016

Former Identifier

2006060602

Esploro creation date

2020-06-22

Fedora creation date

2016-04-14

Open access

  • Yes

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