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The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing and recognising sarcasm. Sarcasm detection is difficult even…

Computation and Language · Computer Science 2023-04-19 Swapnil Mane , Vaibhav Khatavkar

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

Machine Learning · Computer Science 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony…

Machine Learning · Computer Science 2023-10-24 Mor Oren-Loberman , Vered Azar , Wasim Huleihel

The rapid advancement of deep generative models has significantly improved the realism of synthetic media, presenting both opportunities and security challenges. While deepfake technology has valuable applications in entertainment and…

Machine Learning · Computer Science 2025-06-09 Arnesh Batra , Anushk Kumar , Jashn Khemani , Arush Gumber , Arhan Jain , Somil Gupta

The prevalence of coordinated information campaigns in social media platforms has significant negative consequences across various domains, including social, political, and economic processes. This paper proposes a multifaceted framework…

Social and Information Networks · Computer Science 2023-09-25 Kin Wai Ng , Adriana Iamnitchi

The rapid spread of false information and persistent manipulation attacks on online social networks (OSNs), often for political, ideological, or financial gain, has affected the openness of OSNs. While researchers from various disciplines…

Social and Information Networks · Computer Science 2023-08-25 Mohammad Majid Akhtar , Rahat Masood , Muhammad Ikram , Salil S. Kanhere

Recent studies have confirmed a growing trend, especially among youngsters, of using Online Social Media as favourite information platform at the expense of traditional mass media. Indeed, they can easily reach a wide audience at a high…

Social and Information Networks · Computer Science 2020-05-08 Alessandro Balestrucci , Rocco De Nicola

In the last decade we have witnessed the explosive growth of online social networking services (SNSs) such as Facebook, Twitter, RenRen and LinkedIn. While SNSs provide diverse benefits for example, forstering interpersonal relationships,…

Social and Information Networks · Computer Science 2016-05-04 Sihyun Jeong , Giseop Noh , Hayoung Oh , Chong-kwon Kim

Despite the growing body of research tackling offensive language in social media, this research is predominantly reactive, determining if content already posted in social media is abusive. There is a gap in predictive approaches, which we…

Computation and Language · Computer Science 2025-03-07 Raneem Alharthi , Rajwa Alharthi , Ravi Shekhar , Aiqi Jiang , Arkaitz Zubiaga

When reading news articles on social networking services and news sites, readers can view comments marked by other people on these articles. By reading these comments, a reader can understand the public opinion about the news, and it is…

Computation and Language · Computer Science 2022-12-27 Teruki Nakahara , Taketoshi Ushiama

The ease of use of the Internet has enabled violent extremists such as the Islamic State of Iraq and Syria (ISIS) to easily reach large audience, build personal relationships and increase recruitment. Social media are primarily based on the…

Social and Information Networks · Computer Science 2019-02-06 Hamidreza Alvari , Soumajyoti Sarkar , Paulo Shakarian

Online Social Media represent a pervasive source of information able to reach a huge audience. Sadly, recent studies show how online social bots (automated, often malicious accounts, populating social networks and mimicking genuine users)…

Social and Information Networks · Computer Science 2019-09-10 Alessandro Balestrucci , Rocco De Nicola , Marinella Petrocchi , Catia Trubiani

Social Media has seen a tremendous growth in the last decade and is continuing to grow at a rapid pace. With such adoption, it is increasingly becoming a rich source of data for opinion mining and sentiment analysis. The detection and…

Machine Learning · Computer Science 2019-12-18 Rahul Radhakrishnan Iyer , Jing Chen , Haonan Sun , Keyang Xu

Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on their content, but it is difficult to agree on universal…

Social and Information Networks · Computer Science 2018-08-30 Oana Balmau , Rachid Guerraoui , Anne-Marie Kermarrec , Alexandre Maurer , Matej Pavlovic , Willy Zwaenepoel

In recent years, we have witnessed the proliferation of large amounts of online content generated directly by users with virtually no form of external control, leading to the possible spread of misinformation. The search for effective…

Information Retrieval · Computer Science 2024-07-12 Rishabh Upadhyay , Gabriella Pasi , Marco Viviani

The verification of multimedia content over social media is one of the challenging and crucial issues in the current scenario and gaining prominence in an age where user-generated content and online social web platforms are the leading…

Social and Information Networks · Computer Science 2021-09-22 Deepika Varshney , Dinesh Kumar Vishwakarma

Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been applied in the past mainly to textual utterances where lexical…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Rossano Schifanella , Paloma de Juan , Joel Tetreault , Liangliang Cao

Social media platforms often assume that users can self-correct against misinformation. However, social media users are not equally susceptible to all misinformation as their biases influence what types of misinformation might thrive and…

Social medias are increasing their influence with the vast public information leading to their active use for marketing by the companies and organizations. Such marketing promotions are difficult to identify unlike the traditional medias…

Machine Learning · Computer Science 2017-04-12 K C Santosh , Suman Kalyan Maity , Arjun Mukherjee

Harmful or abusive online content has been increasing over time, raising concerns for social media platforms, government agencies, and policymakers. Such harmful or abusive content can have major negative impact on society, e.g.,…

Computation and Language · Computer Science 2022-05-10 Rabindra Nath Nandi , Firoj Alam , Preslav Nakov
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