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ACM Transactions on The Web
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#1Wafa Alorainy (Cardiff University)H-Index: 1
#2Peter Burnap (Cardiff University)H-Index: 17
Last.Matthew Leighton Williams (Cardiff University)H-Index: 22
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Offensive or antagonistic language targeted at individuals and social groups based on their personal characteristics (also known as cyber hate speech or cyberhate) has been frequently posted and widely circulated via the World Wide Web. This can be considered as a key risk factor for individual and societal tension surrounding regional instability. Automated Web-based cyberhate detection is important for observing and understanding community and regional societal tension - especially in online s...
#1Michela Del VicarioH-Index: 12
#2Walter Quattrociocchi (Ca' Foscari University of Venice)H-Index: 22
Last.Fabiana Zollo (Ca' Foscari University of Venice)H-Index: 6
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Users’ polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this article, we introduce a framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances of the proposed methodology on a massive Italian Facebook dataset, showing that we are able to identify top...
#1Julián Alarte (Polytechnic University of Valencia)H-Index: 2
#2Josep Silva (Polytechnic University of Valencia)H-Index: 11
Last.Salvador TamaritH-Index: 7
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A Web template is a resource that implements the structure and format of a website, making it ready for plugging content into already formatted and prepared pages. For this reason, templates are one of the main development resources for website engineers, because they increase productivity. Templates are also useful for the final user, because they provide uniformity and a common look and feel for all webpages. However, from the point of view of crawlers and indexers, templates are an important ...
#1Steffen Thoma (KIT: Karlsruhe Institute of Technology)H-Index: 2
#2Andreas Thalhammer (KIT: Karlsruhe Institute of Technology)H-Index: 6
Last.Rudi Studer (KIT: Karlsruhe Institute of Technology)H-Index: 51
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Many current web pages include structured data which can directly be processed and used. Search engines, in particular, gather that structured data and provide question answering capabilities over the integrated data with an entity-centric presentation of the results. Due to the decentralized nature of the web, multiple structured data sources can provide similar information about an entity. But data from different sources may involve different vocabularies and modeling granularities, which make...
#1Stephan Sigg (Aalto University)H-Index: 14
#2Eemil Lagerspetz (UH: University of Helsinki)H-Index: 12
Last.Sasu Tarkoma (UH: University of Helsinki)H-Index: 28
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Popularity of mobile apps is traditionally measured by metrics such as the number of downloads, installations, or user ratings. A problem with these measures is that they reflect usage only indirectly. Indeed, retention rates, i.e., the number of days users continue to interact with an installed app, have been suggested to predict successful app lifecycles. We conduct the first independent and large-scale study of retention rates and usage trends on a dataset of app-usage data from a community o...
#1Shomir Wilson (CMU: Carnegie Mellon University)H-Index: 10
#2Florian Schaub (CMU: Carnegie Mellon University)H-Index: 18
Last.Noah A. Smith (UW: University of Washington)H-Index: 53
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Website privacy policies are often long and difficult to understand. While research shows that Internet users care about their privacy, they do not have the time to understand the policies of every website they visit, and most users hardly ever read privacy policies. Some recent efforts have aimed to use a combination of crowdsourcing, machine learning, and natural language processing to interpret privacy policies at scale, thus producing annotations for use in interfaces that inform Internet us...
#1Zafar Gilani (University of Cambridge)H-Index: 4
#2Reza Farahbakhsh (IMT: Institut Mines-Télécom)H-Index: 7
Last.Jon Crowcroft (University of Cambridge)H-Index: 73
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Recent research has shown a substantial active presence of bots in online social networks (OSNs). In this article, we perform a comparative analysis of the usage and impact of bots and humans on Twitter—one of the largest OSNs in the world. We collect a large-scale Twitter dataset and define various metrics based on tweet metadata. Using a human annotation task, we assign “bot” and “human” ground-truth labels to the dataset and compare the annotations against an online bot detection tool for eva...
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