Media Attention on my Research

A list of the published news/technology articles on my research.

Fears of Bots Influencing Users' Stance might be Overrated

Paper

• Aldayel A. and W. Magdy. Characterizing the Role of Bots in Polarized Stance on Social Media. SNAM 12(30) link

Articles

• Phys.org: Study: Bots on Twitter have less influence than celebrities
• Scottish Daily Express: Edinburgh researchers say celebrities and influencers 'more dangerous' than bots
• Eurek Alert: Bots less of a bother on social media than celebs, study finds
• Verve Times: Bots On Twitter Have Less Influence Than Celebrities
• Study Finds: Celebrities more harmful than bots on social media, study finds
• Der Standard (German): Promis verbreiten Desinformation besser als Bots
• Berliner Zeitung (German): Studie zu Social Media: Wird der Einfluss von Bots überbewertet?
• Presse text (German): Prominente verbreiten die meisten Fake News
• Mimikama (German): Die meisten Fake News stammen von Prominenten und Influencern

Characterizing Birthday Sharing on Twitter

Paper

• Kekulluoglu D., W. Magdy and K. Vaniea. From an Authentication Question to a Public Social Event: Characterizing Birthday Sharing on Twitter. ICWSM 2022 arXiv

Articles

• New Scientist: Birthday wishes inadvertently give away private information online

Yellow-Color is NOT Neutral for Emoji as Expected

Paper

• Robertson A., W. Magdy, S. Goldwater. Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji. CSCW 2021 arXiv

Articles

• The Times: Ethnicity is black and white when it comes to colour of emojis
• STV News: Yellow emoji not neutral symbol of identity, says study
• DIGIT: Yellow Emojis are Not a Neutral Symbol, And Why it Matters
• FutureScot: Yellow emojis associated with white ethnicity, researchers say
• Deadline: Research from a Scottish university shows interesting facts about emojis
• Eastern Eye: Link between ethnicity and colour of emojis
• Phys.org: Yellow emojis not neutral symbols of identity

Online Signals that can Reveal User's Views

Paper

• Aldayel A. and W. Magdy. Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media. CSCW 2019 arXiv

Articles

• 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
• 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

Paper

• Robertson A., W. Magdy, S. Goldwater. Self-Representation on Twitter Using Emoji Skin Color Modifiers. ICWSM 2018. arXiv

Articles

• National Geographic: How Diverse Emojis Encourage More Social Inclusion
• BBC: Emoji skin tone options 'being used positively'
• The Telegraph: Skin tone emoji 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 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
• 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 (Spanish): Emojis con diferentes tonos de piel promueven la diversidad

Viral Social Posts

Analyzing Twitter Dynamics during US Election 2016

Paper

• Darwish K., W. Magdy, and T. Zanouda. Trump vs. Hillary: What went Viral during the 2016 US Presidential Election. SocInfo 2017. arXiv

Articles

• Newsweek: How did Donald Trump Win? WikiLeaks, Twitter Helped President Beat Hillary Clinton, Study Shows
• The Times: Social media savvy swung US election Donald Trump’s way, say Edinburgh academics
• Bussiness Standard: WikiLeaks document caused Hillary Clinton's defeat in US elections
• The Sun: President Trump’s ‘positive’ domination of social media helped him defeat Hilary Clinton, researchers claim
• Breitbart News: Study: Trump dominated Clinton on Twitter in 2016 election despite attacking her less
• The Economic Times: WikiLeaks caused Hillary Clinton's defeat in US elections
• Eurek Alert: WikiLeaks gave Trump edge in campaign race, Twitter study finds
• The Scotsman: Wikileaks posts ‘harmed Clinton vote’, finds Scots research
• USA Today: Hillary Clinton lost the presidential Twitter war, study shows
• The Herald: How online criticism put Clinton at a disadvantage in election battle
• Pacific Standard: Twitter and Wikileaks greatly helped Trump
• Stornoway Gazette: Online criticism of WikiLeaks documents 'harmed Hillary Clinton election bid'
• The Oxford Times: Damning Hilary Clinton election study to be presented in Oxford
• First Post: WikiLeaks played key role in Hillary Clinton's defeat in US presidential election, says study

Viral Social Posts

Detecting Fake Accounts in Social Media

Paper

• Magdy W., Y. Elkhatib, G. Tyson, S. Joglekar, and N. Sastry. Fake it till you make it: Fishing for Catfishes. ASONAM 2017. arXiv

Articles

• BBC: Computers trained to spot fake online profiles
• The Times: Programmers set ‘catfish’ bait to hook online sex groomers
• Daily Mail: The AI that warns you if you are being 'catfished'
• ACM Communication: Software Tool to Detect Fake Online Profiles
• Business Standard: New software tool may help fish out fake online profiles
• Science Daily: Fake online profiles easier to fish out with new software tool
• Naked Security: Computers trained to spot catfish
• My Science: Fake online profiles easier to fish out with new software tool
• Numrush (Dutch): University of Edinburgh ontwikkelt algoritme dat nepprofielen herkent
• Numerama (French): Quand PornHub sert de laboratoire pour repérer les faux profils en ligne
• Clubic (French): Un outil pour repérer les faux profils en ligne
• Publico (Portuguese): Inteligência artificial usada para apanhar perfis falsos online

Analysing Twitter for the UK General Election 2017

Paper

• Cram L., R. Hill, C. Llewellyn, and W. Magdy. UK General Election 2017L a Twitter Analysis. arXiv

Articles

• The Herald: Labour and Brexit win poll of online election topics
• Verdict: UK election: how much can Twitter tell us about what voters care about?
• Western Advocate: Britons go to the polls amid tight security
• The Sydney Morning Herald: UK Election: Polls suggest Tories election win despite Jeremy Corbyn's big rally
• Daily Business Group: Brexit is top policy issue for Tweeters

Trump getting larger support than Clinton during US Presidential Election 2016

Paper

• Magdy W. and K. Darwish. Trump vs. Hillary Analyzing Viral Tweets during US Presidential Elections 2016. arXiv

Articles

• The Washington Post: The secret network of political tweeters making debate memes go viral
• AlJazeera: Trump snares more Twitter attention than Clinton: study
• The Independent: The secret network of political tweeters making debate memes go viral
• Alarabi Algadeed (Arabic): نبوءات الطائر الأزرق...فوز ترامب بدأ بالنصر في معركة تويتر

Study on the public response towards Muslims and Refugees on Twitter after Paris Attacks

Papers

• Magdy W., K. Darwish, A. Rahimi, N. Abukhodair, T. Baldwin. #ISISisNotIslam or #DeportAllMuslims? Predicting Unspoken Views. Web Science 2016 link
• Darwish K. and W. Magdy. Attitudes towards Refugees in Light of the Paris Attacks. arXiv
• Magdy W., K. Darwish, N. Abokhodair. Quantifying Public Response towards Islam on Twitter after Paris Attacks. arXiv

Articles

• CNN: Social media users denounce #StopIslam trend after attack
• The Washington Post: Lots of people sent anti-Muslim tweets after the Paris attacks. Most of those people were American
• AlJazeera: Twitter was torn over refugees in wake of Paris: study
• UW Today: Study: Most tweets following fall Paris attacks defended Islam, Muslims
• Ghana Web: Migration and Islam split Twitter after Paris Attacks
• AlJazeera (Arabic): دراسة: المغردون الأميركيون الأكثر عداء للاجئين

Study on the Antecedents of ISIS Support

Paper

• Magdy W., K. Darwish, and I. Weber. #FailedRevolutions: Using Twitter to Study the Antecedents of ISIS Support. Under Submission. arXiv

Articles

• MIT Technology Review: Twitter Data Mining Reveals the Origins of Support for Islamic State
• Daily Mail: Islamic State or ISIS? How you refer to terror group reveals if you're a supporter or opponent, new study reveals
• Science Times: Scientists Use Twitter to Predict Who Will Fight for ISIS
• Mirror: ISIS: Twitter experts find 87% chance of predicting if someone will support terrorism
• Pacific Standard: From 'Facebook Revolution' to 'Twitter Jihad'
• NewStatesman: The algorithm that can predict Isis’s next move – before they even know what it is
• FNewsEn: Social Media Experts At Qatari Computing Insute Looked Into Ways To Learn More About The Type Of People Who Join Islamist Militant Group Isis
• WIRED Germany (German): Sagen Tweets voraus, wer zum IS-Terroristen wird?
• Deutschlandradio Kultur (German): Mit Big Data auf den Spuren des IS
• Science ORF.at (German): Von #Gescheiterte Revolution zu #IS
• La Stampa Mondo (Italian): Chi, come e perché diventa pro Isis su Twitter
• Naftemporiki (Greek): «Διαβάζοντας» και προβλέποντας τους υποστηρικτές του Ισλαμικού Κράτους μέσα από το Twitter
• Enlace Judío México (Mexican): Análisis de datos de Twitter revela los orígenes del apoyo al Estado Islámico

TweetMogaz

Papers

Magdy W. TweetMogaz: A News Portal of Tweets. SIGIR 2013 link
• Elsawy E., M. Mokhtar, and W. Magdy. TweetMogaz v2: Identifying News Stories in Social Media. CIKM 2014 link

Articles

• AlJazeera (Arabic): "تويت موجز".. الأخبار بعيون تويتر

Study on the Dynamics of Egyptian Political Polarization during the Military Intervention in July 2013

Paper

• Borge-Holthoefer J., W. Magdy, K. Darwish, and I. Weber. Content and Network Dynamics Behind Egyptian Political Polarization on Twitter. CSCW 2015 arXiv, ACM

Articles

• Sasapost (Arabic): دراسة علمية حول آراء المغردين في الإطاحة بـ«مرسي» وما تلا ذلك من أحداث
• Akhbarak (Arabic): دراسة علمية حول آراء المغردين في الإطاحة بـ«مرسي» وما تلا ذلك من أحداث
• Zifas (Arabic): دراسة علمية حول آراء المغردين في الإطاحة بـ«مرسي» وما تلا ذلك من أحداث

OCRless Project (Microsoft)

Paper

• Magdy W., K. Darwish, and M. El-Saban. Efficient Language-Independent Retrieval of Printed Documents without OCR. SPIRE 2009 link

Article

• TechFest Report on the Demo of OCRless: searching printed documents with the same search engine for different five languages without using OCR. link

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Last Modified: Jul 2021