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

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Information spread in social media depends on a number of factors, including how the site displays information, how users navigate it to find items of interest, users' tastes, and the `virality' of information, i.e., its propensity to be…

Social and Information Networks · Computer Science 2015-02-03 Jeon-Hyung Kang , Kristina Lermam

Learning requires both study and curiosity. A good learner is not only good at extracting information from the data given to it, but also skilled at finding the right new information to learn from. This is especially true when a human…

Computer Vision and Pattern Recognition · Computer Science 2021-09-03 Ervin Teng , Bob Iannucci

The emergence of social media as news sources has led to the rise of clickbait posts attempting to attract users to click on article links without informing them on the actual article content. This paper presents our efforts to create a…

Social and Information Networks · Computer Science 2017-10-25 Olga Papadopoulou , Markos Zampoglou , Symeon Papadopoulos , Ioannis Kompatsiaris

Creativity relates to the ability to generate novel and effective ideas in the areas of interest. How are such creative ideas generated? One possible mechanism that supports creative ideation and is gaining increased empirical attention is…

Computation and Language · Computer Science 2025-08-08 Anna Wróblewska , Marceli Korbin , Yoed N. Kenett , Daniel Dan , Maria Ganzha , Marcin Paprzycki

Over the past decade, the media landscape has seen a radical shift. As more of the public stay informed of current events via online sources, competition has grown as outlets vie for attention. This competition has prompted some online…

Human-Computer Interaction · Computer Science 2023-01-10 Marc Kydd , Lynsay A. Shepherd

The human intrinsic desire to pursue knowledge, also known as curiosity, is considered essential in the process of skill acquisition. With the aid of artificial curiosity, we could equip current techniques for control, such as Reinforcement…

Machine Learning · Computer Science 2022-02-24 Pietro Mazzaglia , Ozan Catal , Tim Verbelen , Bart Dhoedt

In Twitter, and other microblogging services, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of commentary and information through multiple mediums, users on…

Information Retrieval · Computer Science 2016-02-10 Flávio Martins , João Magalhães , Jamie Callan

Introducing curiosities in a conversation is a way to teach something new to the person in a pleasant and enjoyable way. Enriching dialogues with contextualized curiosities can improve the users' perception of a dialog system and their…

Computation and Language · Computer Science 2023-09-21 Frederico Vicente , Rafael Ferreira , David Semedo , João Magalhães

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

Computation and Language · Computer Science 2019-10-29 Jillian Tompkins

Online misinformation has been a serious threat to public health and society. Social media users are known to reply to misinformation posts with counter-misinformation messages, which have been shown to be effective in curbing the spread of…

Social and Information Networks · Computer Science 2023-03-17 Yingchen Ma , Bing He , Nathan Subrahmanian , Srijan Kumar

The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation…

Computers and Society · Computer Science 2010-08-09 Daniel M. Romero , Wojciech Galuba , Sitaram Asur , Bernardo A. Huberman

While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

Social and Information Networks · Computer Science 2016-11-22 Georgios Giasemidis , Colin Singleton , Ioannis Agrafiotis , Jason R. C. Nurse , Alan Pilgrim , Chris Willis , Danica Vukadinovic Greetham

Readers take decisions about going through the complete news based on many factors. The emotional impact of the news title on reader is one of the most important factors. Cognitive ergonomics tries to strike the balance between work,…

Information Retrieval · Computer Science 2019-10-16 Hrishikesh Kulkarni , P Joshi , P Chande

We revise the definition of clickbait, which lacks current consensus, and argue that the creation of a curiosity gap is the key concept that distinguishes clickbait from other related phenomena such as sensationalism and headlines that do…

Computation and Language · Computer Science 2025-07-15 Gabriel Mordecki , Guillermo Moncecchi , Javier Couto

In recent years, the influence of cognitive effects and biases on users' thinking, behaving, and decision-making has garnered increasing attention in the field of interactive information retrieval. The decoy effect, one of the main…

Information Retrieval · Computer Science 2024-06-06 Nuo Chen , Jiqun Liu , Tetsuya Sakai , Xiao-Ming Wu

Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user's friends. We examine this process on one such site, the news aggregator Digg. With a stochastic model…

Computers and Society · Computer Science 2012-02-02 Tad Hogg , Kristina Lerman

Social media include diverse interaction metrics related to user popularity, the most evident example being the number of user followers. The latter has raised concerns about the credibility of the posts by the most popular creators.…

Social and Information Networks · Computer Science 2024-06-19 Silvia García-Méndez , Francisco de Arriba-Pérez , Jaime González-Gonzáleza , Francisco J. González-Castaño

News articles are extremely time sensitive by nature. There is also intense competition among news items to propagate as widely as possible. Hence, the task of predicting the popularity of news items on the social web is both interesting…

Computers and Society · Computer Science 2012-02-07 Roja Bandari , Sitaram Asur , Bernardo A. Huberman

Curiosity-driven learning has shown significant positive effects on students' learning experiences and outcomes. But despite this importance, reports show that children lack this skill, especially in formal educational settings. To address…

Computers and Society · Computer Science 2024-03-14 Rania Abdelghani , Edith Law , Chloé Desvaux , Pierre-Yves Oudeyer , Hélène Sauzéon

While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimensions, such as the authors mood, gender, age, or sentiment.…

Information Retrieval · Computer Science 2014-01-22 Sajib Dasgupta , Vincent Ng