Credtwi: Investigating Social Media Credibility with a Browser Plugin.
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| Title: | Credtwi: Investigating Social Media Credibility with a Browser Plugin. |
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| Authors: | Li, Junhao (AUTHOR), Huusko, Eetu (AUTHOR), Ahooie, Nazanin Nakhaie (AUTHOR), Kuutila, Miikka (AUTHOR), Huotala, Aleksi (AUTHOR), Mäntylä, Mika (AUTHOR), Hosio, Simo (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 22, p14079-14095. 17p. |
| Subjects: | Twitter (Web resource), Misinformation, Field research, Social media, Crowdsourcing, Trust, Web browsers, Gender differences (Sociology) |
| Abstract: | People now look for information online and on social media for everyday problems. Organizations and malevolent actors have taken the opportunity to spread misinformation/disinformation. It is increasingly important to understand the credibility of online information. We designed and implemented a research browser plugin, Credtwi. It injects credibility questionnaires directly into the user's Twitter feed, enabling crowdsourced data collection. We carried out a week-long field study where participants assessed the credibility of tweets on various topics. We provide insights into information credibility in the Twitter ecosystem by analyzing the assessments and study questionnaires. The participants' perception of Twitter as a credible information source decreased after using Credtwi. Our results suggest that the author's verification status and bio are the most important factors for their perceived credibility. Finally, we discovered significant differences between the assessments of the different genders. Our results contribute to the research on online social media content credibility. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | People now look for information online and on social media for everyday problems. Organizations and malevolent actors have taken the opportunity to spread misinformation/disinformation. It is increasingly important to understand the credibility of online information. We designed and implemented a research browser plugin, Credtwi. It injects credibility questionnaires directly into the user's Twitter feed, enabling crowdsourced data collection. We carried out a week-long field study where participants assessed the credibility of tweets on various topics. We provide insights into information credibility in the Twitter ecosystem by analyzing the assessments and study questionnaires. The participants' perception of Twitter as a credible information source decreased after using Credtwi. Our results suggest that the author's verification status and bio are the most important factors for their perceived credibility. Finally, we discovered significant differences between the assessments of the different genders. Our results contribute to the research on online social media content credibility. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10447318 |
| DOI: | 10.1080/10447318.2025.2480885 |
