Microblogging

The act of sharing content to a microblog site. Microblogs are a short form of blogging limited by content size. The most common example is Twitter. Because many tweets are public, Twitter data is utilised in a large number of the studies discussed in the Web Science conference papers, and the topic was consequently coded frequently.

Related Publications:

• [WebSci2016] Walid Magdy, Kareem Darwish, Norah Abokhodair, Afshin Rahimi, Timothy Baldwin - #ISISisNotIslam or #DeportAllMuslims?: predicting unspoken views
• [WebSci2016] Claudia Orellana-Rodriguez, Derek Greene, , Mark T. Keane - Spreading the news: how can journalists gain more engagement for their tweets?
• [WebSci2016] Axel Bruns, Katrin Weller - Twitter as a first draft of the present: and the challenges of preserving it for the future
• [WebSci2016] Kiran Garimella, Ingmar Weber, Munmun De Choudhury - Quote RTs on Twitter: usage of the new feature for political discourse
• [WebSci2016] Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec, Naren Ramakrishnan - Seeing the forest for the trees: new approaches to forecasting cascades
• [WebSci2016] Abhimanyu Das, Sreenivas Gollapudi, Emre Kıcıman, Onur Varol - Information dissemination in heterogeneous-intent networks
• [WebSci2016] Sebastian Stommel, David Garcia, Adiya Abisheva, Frank Schweitzer - Anticipated shocks in online activity: response functions of attention and word-of-mouth processes
• [WebSci2016] Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon - Using social media to reveal social and collective perspectives on music
• [WebSci2017] Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis - The Effect of Collective Attention on Controversial Debates on Social Media
• [WebSci2017] Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali - Mean Birds: Detecting Aggression and Bullying on Twitter
• [WebSci2017] Nikhita Vedula, Srinivasan Parthasarathy, Valerie L. Shalin - Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response
• [WebSci2017] Lee Fiorio, Guy Abel, Jixuan Cai, Emilio Zagheni, Ingmar Weber, Guillermo Vinué - Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration
• [WebSci2017] Juergen Mueller, Gerd Stumme - Predicting Rising Follower Counts on Twitter Using Profile Information
• [WebSci2017] Lingzi Hong, Cheng Fu, Paul Torrens, Vanessa Frias-Martinez - Understanding Citizens' and Local Governments' Digital Communications During Natural Disasters: The Case of Snowstorms
• [WebSci2017] Andrew G. West - Analyzing the Keystroke Dynamics of Web Identifiers
• [WebSci2017] Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay, Jake M. Hofman, Siddhartha Sen - What's Happening and What Happened: Searching the Social Web
• [WebSci2017] Omar Alonso, Serge-Eric Tremblay, Fernando Diaz - Automatic Generation of Event Timelines from Social Data
• [WebSci2017] Yongren Shi, Kai Mast, Ingmar Weber, Agrippa Kellum, Michael Macy - Cultural Fault Lines and Political Polarization
• [WebSci2017] Sharath Chandra Guntuku, Weisi Lin, Jordan Carpenter, Wee Keong Ng, Lyle H. Ungar, Daniel Preoţiuc-Pietro - Studying Personality through the Content of Posted and Liked Images on Twitter
• [WebSci2017] Jennifer Golbeck, Zahra Ashktorab, Rashad O. Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A. Geller, Quint Gergory, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, Kelly M. Hoffman, Jenny Hottle, Vichita Jienjitlert, Shivika Khare, Ryan Lau, Marianna J. Martindale, Shalmali Naik, Heather L. Nixon, Piyush Ramachandran, Kristine M. Rogers, Lisa Rogers, Meghna Sardana Sarin, Gaurav Shahane, Jayanee Thanki, Priyanka Vengataraman, Zijian Wan, Derek Michael Wu - A Large Labeled Corpus for Online Harassment Research
• [WebSci2017] Eni Mustafaraj, Panagiotis Takis Metaxas - The Fake News Spreading Plague: Was it Preventable?
• [WebSci2017] Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis - Factors in Recommending Contrarian Content on Social Media
• [WebSci2017] Ramine Tinati, Aastha Madaan, Wendy Hall - InstaCan: Examining Deleted Content on Instagram
• [WebSci2017] Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu - Characterizing Regional and Behavioural Device Variations Across the Twitter Timeline: A Longitudinal Study
• [WebSci2017] Nora Alrajebah, Leslie Carr, Markus Luczak-Roesch, Thanassis Tiropanis - Deconstructing Diffusion on Tumblr: Structural and Temporal Aspects
• [WebSci2017] Helena Webb, Marina Jirotka, Bernd Carsten Stahl, William Housley, Adam Edwards, Matthew Williams, Rob Procter, Omer Rana, Pete Burnap - The Ethical Challenges of Publishing Twitter Data for Research Dissemination
• [WebSci2014] Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen - Rolling through tumblr: characterizing behavioral patterns of the microblogging platform
• [WebSci2014] Asmelash Teka Hadgu, Robert Jäschke - Identifying and analyzing researchers on twitter
• [WebSci2014] Abdullah Almaatouq, Ahmad Alabdulkareem, Mariam Nouh, Erez Shmueli, Mansour Alsaleh, Vivek K. Singh, Abdulrahman Alarifi, Anas Alfaris, Alex (Sandy) Pentland - Twitter: who gets caught? observed trends in social micro-blogging spam
• [WebSci2014] Onur Varol, Emilio Ferrara, Christine L. Ogan, Filippo Menczer, Alessandro Flammini - Evolution of online user behavior during a social upheaval
• [WebSci2014] Albert Solé-Ribalta, Manlio De Domenico, Sergio Gómez, Alex Arenas - Centrality rankings in multiplex networks
• [WebSci2014] Ramine Tinati, Olivier Phillipe, Catherine Pope, Les Carr, Susan Halford - Challenging social media analytics: web science perspectives
• [WebSci2014] Ning Wang, James She, Junting Chen - How "big vs" dominate chinese microblog: a comparison of verified and unverified users on sina weibo
• [WebSci2014] Daniel Kershaw, Matthew Rowe, Patrick Stacey - Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media
• [WebSci2014] Matthew Rowe, Harith Alani - Mining and comparing engagement dynamics across multiple social media platforms
• [WebSci2015] Max Van Kleek, Dave Murray-Rust, Amy Guy, Daniel A. Smith, Kieron O'Hara, Nigel R. Shadbolt - Self Curation, Social Partitioning, Escaping from Prejudice and Harassment: the Many Dimensions of Lying Online
• [WebSci2015] Debanjan Mahata, John R. Talburt, Vivek Kumar Singh - From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter
• [WebSci2015] Han-Teng Liao, King-Wa Fu, Scott A. Hale - How much is said in a microblog?: A multilingual inquiry based on Weibo and Twitter
• [WebSci2015] Igor Brigadir, Derek Greene, Pádraig Cunningham - Analyzing Discourse Communities with Distributional Semantic Models
• [WebSci2015] Asaf Beasley, Winter Mason - Emotional States vs. Emotional Words in Social Media
• [WebSci2012] Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth - Topical Anomaly Detection From Twitter Stream
• [WebSci2012] Ernesto Diaz-Aviles, Avare Stewart - Tracking Twitter for Epidemic Intelligence
• [WebSci2012] Ee-Peng Lim, Wei Xie, Cheng Li, Feida Zhu, Xueqing Gong - When a Friend in Twitter is a Friend in Life
• [WebSci2012] Yelena Mejova, Padmini Srinivasan - Political Speech in Social Media Streams: YouTube Comments and Twitter Posts
• [WebSci2012] Nam P. Nguyen, Guanhua Yan, My T. Thai, Stephan Eidenbenz - Containment of Misinformation Spread in Online Social Networks
• [WebSci2012] Jaimie Y. Park, Chin-Wan Chung - When Daily Deal Services Meet Twitter: Understanding Twitter as a Daily Deal Marketing Platform
• [WebSci2012] Daniele Quercia, Harry Askham, Jon Crowcroft - TweetLDA: Supervised Topic Classification and Link Prediction in Twitter
• [WebSci2012] Daniele Quercia, Mansoureh Bodaghi, Jon Crowcroft - Loosing “Friends” on Facebook
• [WebSci2012] Matthew Rowe, Miriam Fernandez, Harith Alani, Inbal Ronen, Conor Hayes, Marcel Karnstedt - Behaviour analysis across different types of Enterprise Online Communities
• [WebSci2012] Emma S. Spiro, Jeannette Sutton, Matt Greczek, Sean Fitzhugh, Nicole Pierski, Carter T. Butts - Rumoring During Extreme Events: A Case Study of Deepwater Horizon 2010
• [WebSci2012] Ernesto Diaz-Aviles, Avar´ e Stewart - Tracking Twitter for Epidemic Intelligence
• [WebSci2012] Chun-Yuen Teng, Liuling Gong, Avishay Livne EECS, Celso Brunetti, Lada Adamic - Coevolution of Network Structure and Content
• [WebSci2013] Souneil Park, Minsam Ko, Jaeung Lee, Aram Choi, Junehwa Song - Challenges and Opportunities of Local Journalism: A Case Study of the 2012 Korean General Election
• [WebSci2013] Richard Rogers - Debanalizing Twitter: The Transformation of an Object of Study
• [WebSci2013] J. Nathan Matias - Measuring Social Media Quotations in Journalism
• [WebSci2013] Tushar Rao, Saket Srivastava - Modeling Movements in Oil, Gold, Forex and Market Indices using Search Volume Index and Twitter Sentiments
• [WebSci2013] Dong Nie, Ang Li, Bibo Hao, Tingshao Zhu - Personality Traits and Microblogging Behavior of Weibo Users: Onlies versus Others
• [WebSci2013] Derek Greene, Padraig Cunningham - Producing a Unified Graph Representation from Multiple Social
• [WebSci2013] Ming Gao, Ee-Peng Lim, David Lo - R-energy for Evaluating Robustness of Dynamic Networks
• [WebSci2013] Shu Huang, Wei Peng, Jingxuan Li, Dongwon Lee - Sentiment and Topic Analysis on Social Media: A Multi-Task Multi-Label Classification Approach
• [WebSci2013] Panagiotis Metaxas, Eni Mustafaraj - The Rise and the Fall of a Citizen Reporter
• [WebSci2013] Johannes Schantl, ClaudiaWagner, Rene Kaiser, Markus Strohmaier - The Utility of Social and Topical Factors in Anticipating Repliers in Twitter Conversations
• [WebSci2013] Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft - Traditional media seen from social media
• [WebSci2013] Derek O’Callaghan, Derek Greene, Maura Conway, Joe Carthy, Padraig Cunningham - Uncovering the Wider Structure of Extreme Right Communities Spanning Popular Online Networks
• [WebSci2013] Silvia Mitter, Claudia Wagner, Markus Strohmaier - Understanding The Impact Of Socialbot Attacks In Online Social Networks
• [WebSci2013] Mark Thamm, Arnim Bleier - When Politicians Tweet: A Study on the Members of the German Federal Diet
• [WebSci2013] Ricardo Kawase, Bernardo Pereira Nunes, Eelco Herder, Wolfgang Nejdl, Marco Antonio Casanova - Who Wants To Get Fired?
• [WebSci2013] Jisun An, Daniele Quercia, Jon Crowcroft - Why individuals seek diverse opinions (or why they don’t)
• [WebSci2010] Gaffney, Devin - #iranElection: quantifying online activism.
• [WebSci2010] Mustafaraj, Eni, Metaxas, Panagiotis - From Obscurity to Prominence in Minutes: Political Speech and Real-Time Search
• [WebSci2010] Aksu Degirmencioglu, Ece, Uskudarli, Suzan - EXPLORING AREA-SPECIFIC MICROBLOGGER SOCIAL NETWORKS
• [WebSci2010] Groth, Paul, Gurney, Thomas - Studying Scientific Discourse on the Web using Bibliometrics: A Chemistry Blogging Case Study.
• [WebSci2010] Letierce, Julie, Passant, Alexandre, Breslin, John, Decker, Stefan - Understanding how Twitter is used to spread scientific messages.
• [WebSci2011] Nasir Naveed, Sergej Sizov, Steffen Staab - ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media.
• [WebSci2011] Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao - Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web.
• [WebSci2011] Janaína Gomide, Adriano Veloso, Wagner Meira Jr, Fabrício Benevenuto, Virgílio Almeida, Fernanda Ferraz, Mauro Teixeira - Dengue surveillance based on a computational model of spatio-temporal locality of Twitter.
• [WebSci2011] Nasir Naveed, Thomas Gottron, Jérôme Kunegis, Arifah Che Alhadi - Bad News Travel Fast: A Content-based Analysis of Interestingness on Twitter.
• [WebSci2011] Sarosh Khan, Roksana Moore, Dr Mark Weal - Social Media on the Job: An exploration of the potential legal consequences of employer’s social media usage whilst during the course of employment.
• [WebSci2011] Pascal Juergens, Andreas Jungherr, Harald Schoen - Small Worlds with a Difference: New Gatekeepers and the Filtering of Political Information on Twitter.