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Filters: Author is Despoina Chatzakou [Clear All Filters]
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. ICWSM-18. Stanford, California: AAAI, 2018.
Detecting Aggressors and Bullies on Twitter In Proceedings of the 26th International Conference on World Wide Web Companion. WWW '17 Companion. Perth, Australia: ACM, 2017.
Detecting Variation of Emotions in Online Activities." Expert Systems with Applications 89 (2017): 318-332."
DynamiCITY : Revealing city dynamics from citizens social media broadcasts." Information Systems (2017): -."
Experience of emotion in face to face and computer-mediated social interactions: An event sampling study." Computers in Human Behavior 76 (2017): 287-293."
Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter. HT '17. Prague, Czech Republic: ACM, 2017.
Mean Birds: Detecting Aggression and Bullying on Twitter. WebSci '17. Troy, NY, USA: ACM, 2017.
Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying In Proceedings of the 26th International Conference on World Wide Web Companion. WWW '17 Companion. Perth, Australia: ACM, 2017.
CityPulse: A platform prototype for smart city social data mining." Journal of the Knowledge Economy 7 (2016): 344-372."
Harvesting Opinions and Emotions from Social Media Textual Resources." Internet Computing, IEEE 19 (2015): 46-50."
MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis." In Big Data Analytics and Knowledge Discovery, edited by Sanjay Kumar Madria and Takahiro Hara, 337-350. Vol. 9263. Lecture Notes in Computer Science 9263. Springer International Publishing, 2015."
ND-SYNC: Detecting Synchronized Fraud Activities." In Advances in Knowledge Discovery and Data Mining, 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, 201â€“214., 2015."
Retweeting Activity on Twitter: Signs of Deception." In PAKDD (1), edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung and Hiroshi Motoda, 122-134. Vol. 9077. Lecture Notes in Computer Science 9077. Springer, 2015."
User communities evolution in microblogs: A public awareness barometer for real world events." World Wide Web (2015): 1269-1299."
A Conceptual Enterprise Architecture Framework for Smart Cities - A Survey Based Approach." In ICE-B, edited by Mohammad S. Obaidat, Andreas Holzinger, Marten van Sinderen and Peter Dolog, 47-54. SciTePress, 2014."
EmoTube: A Sentiment Analysis Integrated Environment for Social Web Content." In WIMS, edited by Rajendra Akerkar, Nick Bassiliades, John Davies and Vadim Ermolayev, 20. ACM, 2014."
Community Detection in Social Media by Leveraging Interactions and Intensities." In WISE (2), edited by Xuemin Lin, Yannis Manolopoulos, Divesh Srivastava and Guangyan Huang, 57-72. Vol. 8181. Lecture Notes in Computer Science 8181. Springer, 2013."
Micro-blogging Content Analysis via Emotionally-Driven Clustering." In Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on, 375-380., 2013."
Requirements and architecture design principles for a smart city experiment with sensor and social networks integration." In Panhellenic Conference on Informatics, edited by Panayiotis H. Ketikidis, Konstantinos G. Margaritis, Ioannis P. Vlahavas, Alexander Chatzigeorgiou, George Eleftherakis and Ioannis Stamelos, 327-334. ACM, 2013."
Social Data Sentiment Analysis in Smart Environments - Extending Dual Polarities for Crowd Pulse Capturing." In DATA, edited by Markus Helfert, Chiara Francalanci and Joaquim Filipe, 175-182. SciTePress, 2013."