Ever stopped to wonder if that miracle cure post on social media is real? 💡 We did too. Our #DIS2024 paper dives into how everyday users like you and me perceive health misinformation online. We conducted semi-structured interviews with 22 social media users with diverse cultural backgrounds, including Europe, Asia, Sub-Saharan Africa, and Latin America. 🌍 [Key Findings]: [Identifying Health Misinformation]: Users find it challenging due to grey areas and ambiguous content, like natural remedies, often intertwined with personal experiences. [Heuristics for Identification]: Users rely on these cues: 1, Lack of reliable sources 2, Contrary to doctor's advice 3, Contradicts common knowledge 4, Advertisement [Combating Misinformation]: Users behave differently when combating health misinformation on public social media platforms versus private messaging apps. They face barriers such as information overload, lack of confidence in their knowledge, and Algorithmic impact, even debunk it, they will receiving more similar content through algorithmic. [Views on Countermeasures]: We discussed current countermeasures like fact-checking labels, nudges, and modifying social media feeds to downgrade or delete misleading information. Users appreciate platforms providing insights that content is false but need more transparency and immediate debunking information. Users also dislike content deletion as it contradicts freedom of speech and can hinder critical thinking. In some countries, people often download content for later use because they do not always have internet access, meaning deleted online content may still exist on their devices, leaving them unaware it’s false. Based on these insights, we suggest several design recommendations to help develop better solutions to fight misinformation in the future. Curious about what we discovered? Check out the full study here: https://lnkd.in/ekMqZQQ5 This work is with Anastasia Sergeeva, Björn Rohles, Gabriele Lenzini, and Samuel Greiff. It’s my first full paper, and it means a lot to me. Huge thanks to my supportive and wonderful co-authors and colleagues at the University of Luxembourg.
Congratulations to the publication and thank you for the great collaboration. Well deserved 👏
Data Scientist | Ph.D. Student
5moCongratulations! 🎉 Thank you for making citation for my article. It's my pleasure. 😊