Media Coverage
Deleted Facebook posts on Gaza conflict broke no rules
Walid Magdy, Hamdy Mubarak, and Joni Salminen. 2025. Who Should Set the Standards? Analysing Censored Arabic Content on Facebook during the Palestine-Israel Conflict. CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Read the paper
Coverage:
AI image generators misrepresent trans and non-binary people
Eddie Ungless, Björn Ross, and Anne Lauscher. 2023. Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models. Findings of the Association for Computational Linguistics: ACL 2023. Read the paper
Coverage:
Bots have less influence than celebrities
Abeer Aldayel and Walid Magdy. 2022. Characterizing the role of bots' in polarized stance on social media. Social Network Analysis and Mining, 12(1). Read the paper
Coverage:
- Study: Bots on Twitter have less influence than celebrities
- Edinburgh researchers say celebrities and influencers 'more dangerous' than bots
- Bots less of a bother on social media than celebs, study finds
- Promis verbreiten Desinformation besser als Bots ("Celebrities spread misinformation better than bots")
- Studie zu Social Media: Wird der Einfluss von Bots überbewertet? ("Social Media Study: Is the Influence of Bots Overstated?")
Birthday wishes leak private information
Dilara Keküllüoğlu, Walid Magdy, and Kami Vaniea. 2022. From an Authentication Question to a Public Social Event: Characterizing Birthday Sharing on Twitter. arXiv:2201.10655 [cs], January. Read the paper
Coverage:
Yellow emojis are not neutral
Robertson A., W. Magdy, S. Goldwater. Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji. ACM 2021. Read the paper
Coverage:
Online signals that can reveal users' views
Aldayel A. and W. Magdy. Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media. CSCW 2019. Read the paper
Coverage:
- TechXplore: How people's stance on a topic can be inferred from their online activity
- The National: Scientists warn of fake news risk as AI predicts views of silent Tweeters
- The World News: AI could predict "silent users'" views on politics and religion, Edinburgh study finds
- ScotsMan: Artificial intelligence could predict the views of Scottish social media users
- Medium: Most of our online signals on social media can reveal our views!
Emoji with skin tones are used positively on Twitter
Robertson A., W. Magdy, S. Goldwater. Self-Representation on Twitter Using Emoji Skin Color Modifiers. ICWSM 2018. Read the paper
Coverage:
- National Geographic: How Diverse Emojis Encourage More Social Inclusion
- BBC: Emoji skin tone options 'being used positively'
- The Telegraph: Skin tone emojis boost inclusion on social media, study shows
- RTE: Emojis successful in representing diversity - study
- The Herald: Darker emoji skin tones promote diversity, Twitter study shows
- The Scottish Sun: Darker skin tone emojis 'rarely abused in a racist way on Twitter' according to Scottish study
- The Irish News: Emojis successful in representing diversity - study
- Business Standard: Diverse skin tone emojis boost inclusion: Twitter study
- Eurek Alert: Darker emoji skin tones promote diversity, Twitter study shows
- BT News: Emojis successfully represent diversity, study says
- Market Watch: Darker emoji skin tones promote diversity, not racism, on Twitter
- La Nación: Emojis con diferentes tonos de piel promueven la diversidad