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Related papers: How Curiosity can be modeled for a Clickbait Detec…

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Clickbait (headlines) make use of misleading titles that hide critical information from or exaggerate the content on the landing target pages to entice clicks. As clickbaits often use eye-catching wording to attract viewers, target contents…

Computation and Language · Computer Science 2017-10-06 Xinyue Cao , Thai Le , Jason , Zhang

In an information-rich world, people's time and attention must be divided among rapidly changing information sources and the diverse tasks demanded of them. How people decide which of the many sources, such as scientific articles or…

Digital Libraries · Computer Science 2017-10-03 Kristina Lerman , Nathan Hodas , Hao Wu

This paper focuses on detecting clickbait posts on the Web. These posts often use eye-catching disinformation in mixed modalities to mislead users to click for profit. That affects the user experience and thus would be blocked by content…

Machine Learning · Computer Science 2024-10-11 Jianxing Yu , Shiqi Wang , Han Yin , Zhenlong Sun , Ruobing Xie , Bo Zhang , Yanghui Rao

The design of recommendations strategies in the adaptive learning system focuses on utilizing currently available information to provide individual-specific learning instructions for learners. As a critical motivate for human behaviors,…

Computers and Society · Computer Science 2019-10-29 Ruijian Han , Kani Chen , Chunxi Tan

Curiosity is a vital metacognitive skill in educational contexts, leading to creativity, and a love of learning. And while many school systems increasingly undercut curiosity by teaching to the test, teachers are increasingly interested in…

Machine Learning · Computer Science 2022-04-04 Tanmay Sinha , Zhen Bai , Justine Cassell

Twitter, a microblogging service, is todays most popular platform for communication in the form of short text messages, called Tweets. Users use Twitter to publish their content either for expressing concerns on information news or views on…

Social and Information Networks · Computer Science 2017-11-29 Dhanasekar Sundararaman , Priya Arora , Vishwanath Seshagiri

Research on social-media platforms has tended to rely on textual analysis to perform research tasks. While text-based approaches have significantly increased our understanding of online behavior and social dynamics, they overlook features…

Social and Information Networks · Computer Science 2019-05-28 Cole Freeman , Mrinal Kanti Roy , Michele Fattoruso , Hamed Alhoori

Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can make it difficult to use the data effectively. In order to…

Machine Learning · Computer Science 2020-02-13 Yingcheng Sun , Richard Kolacinski , Kenneth Loparo

Curiosity is one of the main motives in many of the natural creatures with measurable levels of intelligence for exploration and, as a result, more efficient learning. It makes it possible for humans and many animals to explore efficiently…

Machine Learning · Computer Science 2023-08-01 Amir Ramezani Dooraki , Alexandros Iosifidis

A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are…

Computers and Society · Computer Science 2015-04-17 Julio Reis , Fabrıcio Benevenuto , Pedro O. S. Vaz de Melo , Raquel Prates , Haewoon Kwak , Jisun An

Every day people ask short questions through smart devices or online forums to seek answers to all kinds of queries. With the increasing number of questions collected it becomes difficult to provide answers to each of them, which is one of…

Computation and Language · Computer Science 2021-11-01 Zhaozhen Xu , Amelia Howarth , Nicole Briggs , Nello Cristianini

The proliferation of clickbait headlines poses significant challenges to the credibility of information and user trust in digital media. While recent advances in machine learning have improved the detection of manipulative content, the lack…

Computation and Language · Computer Science 2025-09-16 Lihi Nofar , Tomer Portal , Aviv Elbaz , Alexander Apartsin , Yehudit Aperstein

YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted the video. This creates an incentive for people to post…

Machine Learning · Computer Science 2021-07-28 Ruchira Gothankar , Fabio Di Troia , Mark Stamp

Online commenting platforms have commonly developed systems to address online harms by removing and down-ranking content. An alternative, under-explored approach is to focus on up-ranking content to proactively prioritize prosocial…

Human-Computer Interaction · Computer Science 2024-04-17 Emily Saltz , Zaria Jalan , Tin Acosta

Curiosity is a vital metacognitive skill in educational contexts. Yet, little is known about how social factors influence curiosity in group work. We argue that curiosity is evoked not only through individual, but also interpersonal…

Human-Computer Interaction · Computer Science 2017-10-24 Tanmay Sinha , Zhen Bai , Justine Cassell

Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on…

Social and Information Networks · Computer Science 2020-10-07 Dimitar Nikolov , Mounia Lalmas , Alessandro Flammini , Filippo Menczer

Centrality is one of the most studied concepts in social network analysis. There is a huge literature regarding centrality measures, as ways to identify the most relevant users in a social network. The challenge is to find measures that can…

Social and Information Networks · Computer Science 2016-04-26 Fabián Riquelme , Pablo González-Cantergiani

In the digital environment, human attention is frequently guided by cognitive heuristics rather than deliberate evaluation. Since low-credibility narratives often lack substantive factual evidence, their diffusion disproportionally relies…

Social and Information Networks · Computer Science 2026-05-07 Lynnette Hui Xian Ng , Wenqi Zhou , Kathleen M. Carley

Online news outlets operate predominantly on an advertising-based revenue model, compelling journalists to create headlines that are often scandalous, intriguing, and provocative -- commonly referred to as clickbait. Automatic detection of…

Computation and Language · Computer Science 2025-07-25 Marija Anđelić , Dominik Šipek , Laura Majer , Jan Šnajder

Clickbaits are catchy headlines that are frequently used by social media outlets in order to allure its viewers into clicking them and thus leading them to dubious content. Such venal schemes thrive on exploiting the curiosity of naive…

Computation and Language · Computer Science 2018-11-06 Amrith Rajagopal Setlur