Abeer Aldayel and Walid Magdy. 2022. Characterizing the role of bots’ in polarized stance on social media. Social Network Analysis and Mining, 12(1). DOI
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. arXiv: 2201.10655. arXiv
Robertson A., W. Magdy, S. Goldwater. Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji. ACM 2021 arXiv
Aldayel A. and W. Magdy. Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media. CSCW 2019 arXiv
TechXplore: How people’s stance on a topic can be inferred from their online activity
The National: Scientists warns of fake news risk as AI predicts views of silent Tweeters
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!
Robertson A., W. Magdy, S. Goldwater. Self-Representation on Twitter Using Emoji Skin Color Modifiers. ICWSM 2018. arXiv
National Geographic: How Diverse Emojis Encourage More Social Inclusion
The Telegraph: Skin tone emoji boost inclusion on social media, study shows
The Herald: Darker emoji skin tones promote diversity, Twitter study shows
The Irish News:Emojis successful in representing diversity - study
Bussiness 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