Results 61 to 70 of about 387 (173)

A Literature Review of Textual Cyber Abuse Detection Using Cutting‐Edge Natural Language Processing Techniques: Language Models and Large Language Models

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 3, September 2025.
Summary of the methodology and sequential steps conducted during the review. ABSTRACT The success of social media platforms has facilitated the emergence of various forms of online abuse within digital communities. This abuse manifests in multiple ways, including hate speech, cyberbullying, emotional abuse, grooming, and shame sexting or sextortion. In
J. Angel Diaz‐Garcia, Joao Paulo Carvalho   +1 more
wiley   +1 more source

The promise and peril of interpersonal political communication

Political Psychology, Volume 46, Issue S1, Page 167-212, August 2025.
Abstract At present, the field of political psychology lacks an effective framework to conceptually organize the findings from the voluminous literature assessing whether interpersonal political interaction makes democracy better or worse. Historically, the scholarship examining various styles of interactions has remained siloed; scholars have not ...
Jaime E. Settle
wiley   +1 more source

Clickbait detection: quick inference with maximum impact

CoRR
We propose a lightweight hybrid approach to clickbait detection that combines OpenAI semantic embeddings with six compact heuristic features capturing stylistic and informational cues. To improve efficiency, embeddings are reduced using PCA and evaluated with XGBoost, GraphSAGE, and GCN classifiers.
Soveatin Kuntur, Panggih Kusuma Ningrum, Anna Wróblewska, Maria Ganzha, Marcin Paprzycki   +4 more
openaire   +2 more sources

Co‐Designing a Framework for Social Media Health Communication to Young People: A Participatory Research Study

Health Expectations, Volume 28, Issue 2, April 2025.
ABSTRACT Background Social media became a key communication channel for public health agencies during the COVID‐19 pandemic, especially for reaching younger populations less engaged with traditional channels. However, official social media health communication often fails to appeal to young people. Improving public health agency use of social media for
Melody Taba, Julie Ayre, Kirsten McCaffery, Diana Vassilenko, Ivan C. K. Ma, Tara Haynes, Julie Leask, Andrew Wilson, Carissa Bonner   +8 more
wiley   +1 more source

Defining Abusive News Categories: Proposing a Detection Model for Digital Media Integrity

Applied Sciences
Abusive news refers to digital content designed to maximize clicks and advertising revenue through sensational headlines, repetitive postings, or emotionally charged language, rather than upholding journalistic integrity.
Munsu Choi, Dohwan Kim, Jonghyuk Kim
doaj   +1 more source

Disruptive diversity: Exploring racial commodification in the Norwegian cultural field

The British Journal of Sociology, Volume 76, Issue 2, Page 407-422, March 2025.
Abstract Scholars have suggested that the heightened focus on diversity in Western cultural fields may drive forms of racial commodification, impacting cultural representations of ‘race’. However, few studies apply Bourdieu's theory of cultural production to understand how racial commodification may also disrupt field dynamics.
Sabina Tica
wiley   +1 more source

Building Trust and Inclusivity: Navigating Layered Stigma and Risk Communication for LGBTQ+ Individuals During COVID‐19 Outbreaks

Journal of Contingencies and Crisis Management, Volume 33, Issue 1, March 2025.
ABSTRACT Stigmatised groups, including lesbian, gay, bisexual, transgender or queer‐identifying (LGBTQ+) individuals, face increased vulnerability to infectious diseases, such as HIV/AIDS, coronavirus disease (COVID‐19), and mpox (monkeypox). Layered and intersectional stigma limits healthcare access and public health participation, making trust and ...
JungKyu Rhys Lim, Hyoyeun Jun, Victoria Ledford   +2 more
wiley   +1 more source

Know Better - A Clickbait Resolving Challenge

, 2022
In this paper, we present a new corpus of clickbait articles annotated by university students along with a corresponding shared task: clickbait articles use a headline or teaser that hides information from the reader to make them curious to open the ...
Binnig, Carsten, Hättasch, Benjamin
core  

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution

CoRR
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 of explainability limits their practical adoption.
Lihi Nofar, Tomer Portal, Aviv Elbaz, Alexander Apartsin, Yehudit Aperstein   +4 more
openaire   +2 more sources

A Survey on the Criteria Used to Judge (Fake) News in Italian Population

Brain and Behavior, Volume 15, Issue 2, February 2025.
Criteria to detect fake versus truthful news in Italian population. ABSTRACT Introduction Fake news detection falls within the field of deception detection and, consequently, can be problematic due to no consensus on which cues increase the detection accuracy and because people's ability to detect is poor. Methods The present study aimed to investigate
Fabiana Battista, Tiziana Lanciano, Antonietta Curci   +2 more
wiley   +1 more source