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- keynoteJune 2019
Decoding the Social World
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePage 131https://doi.org/10.1145/3292522.3326059Social life is full of paradoxes. Our intentional actions often trigger outcomes that we did not intend or even envision. How do we explain those unintended effects and what can we do to regulate them? In this talk, I will discuss research that ...
- posterJune 2019
How Gullible Are You?: Predicting Susceptibility to Fake News
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 287–288https://doi.org/10.1145/3292522.3326055In this research, we hypothesize that some social users are more gullible to fake news than others, and accordingly investigate on the susceptibility of users to fake news--i.e., how to identify susceptible users, what are their characteristics, and if ...
- posterJune 2019
Temporal Analysis of Supply and Demand of Topics on The Web
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 143–144https://doi.org/10.1145/3292522.3326054Timing of supply and demand for information on a topic does not always coincide. Sometimes one of them rises first, then the other follows. We show a classification of hot topics on the Web in the past based on the temporal relationship between their ...
- posterJune 2019
Live It Up: Analyzing Emotions and Language Use in Tweets during the Soccer World Cup Finals
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 293–294https://doi.org/10.1145/3292522.3326051In this paper, we present a study to identify similarities and differences in how users express themselves on Twitter during two editions of the most watched sports events in the world, the finals of the FIFA Soccer World Cup of 2014 and 2018. Our ...
- research-articleJune 2019
Understanding Brand Consistency from Web Content
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 245–253https://doi.org/10.1145/3292522.3326048Brands produce content to engage with the audience continually and tend to maintain a set of human characteristics in their marketing campaigns. In this era of digital marketing, they need to create a lot of content to keep up the engagement with their ...
- research-articleJune 2019
Prevalence and Psychological Effects of Hateful Speech in Online College Communities
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 255–264https://doi.org/10.1145/3292522.3326032Background. Hateful speech bears negative repercussions and is particularly damaging in college communities. The efforts to regulate hateful speech on college campuses pose vexing socio-political problems, and the interventions to mitigate the effects ...
- research-articleJune 2019
Analyzing Textual (Mis)Information Shared in WhatsApp Groups
- Gustavo Resende,
- Philipe Melo,
- Julio C. S. Reis,
- Marisa Vasconcelos,
- Jussara M. Almeida,
- Fabrício Benevenuto
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 225–234https://doi.org/10.1145/3292522.3326029Whatsapp is a messenger app that is currently very popular around the world. With a user-friendly interface, it allows people to instantaneously exchange messages in a very intuitive and fluid way. The app also allows people to interact using group ...
- research-articleJune 2019
A Unified Deep Learning Architecture for Abuse Detection
- Antigoni Maria Founta,
- Despoina Chatzakou,
- Nicolas Kourtellis,
- Jeremy Blackburn,
- Athena Vakali,
- Ilias Leontiadis
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 105–114https://doi.org/10.1145/3292522.3326028Hate speech, offensive language, sexism, racism, and other types of abusive behavior have become a common phenomenon in many online social media platforms. In recent years, such diverse abusive behaviors have been manifesting with increased frequency ...
- research-articleJune 2019
Explainable Machine Learning for Fake News Detection
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 17–26https://doi.org/10.1145/3292522.3326027Recently, there have been many research efforts aiming to understand fake news phenomena and to identify typical patterns and features of fake news. Yet, the real discriminating power of these features is still unknown: some are more general, but others ...
- research-articleJune 2019
The Potential for Serious Spaceships to Make a Serious Difference
WebSci '19: Proceedings of the 10th ACM Conference on Web SciencePages 97–104https://doi.org/10.1145/3292522.3326017Identifying, investigating, and potentially disrupting organised criminal networks is difficult. Data gathered by law enforcement and regulatory authorities are often inconsistent, incomplete, and inaccurate. Computational criminology attempts to ...
- proceedingJune 2019
WebSci '19: Proceedings of the 10th ACM Conference on Web Science
- Paolo Boldi,
- Brooke Foucault Welles,
- Katharina Kinder-Kurlanda,
- Christo Wilson,
- Isabella Peters,
- Wagner Meira
It is our great pleasure to welcome you to the 11th ACM Conference on Web Science (Websci'19), June 30 -- July 3, 2019, Boston, MA, USA.
This year, the conference theme is "Synergies for the Good: The Web and Society". We welcomed interdisciplinary ...