Results 51 to 60 of about 283 (152)

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

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   +3 more sources

Exploring Linguistic Strategies in Romanian Clickbait Headlines: Communication Tactics in Online Media [PDF]

Scientific Bulletin of the Politehnica University of Timişoara: Transactions on Modern Languages
This study investigates the communication tactics embedded in clickbait headlines found in Romanian online media, by linguistically analysing a corpus of 80 headlines sourced from the Libertatea newspaper.
Marcela Alina FĂRCAȘIU, Vasile GHERHEȘ   +1 more
doaj  

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

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

Can Video Lectures on Enthymemes Improve Adult Learners’ Critical Thinking and Clickbait Detection Skills?

Education Sciences
Critical thinking is essential when navigating, evaluating, and interacting with media; therefore, it is important to investigate if adults’ critical thinking skills can be trained.
Ana Vlah, Lisette Wijnia, Christel Lutz, Michael Burke, Sofie M. M. Loyens   +4 more
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

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

H-FuseNet: A Hybrid Multi-Representation Fusion Framework for Robust Misinformation Detection

Machine Learning and Knowledge Extraction
This study investigates automated fake news detection as a reliability-oriented text classification problem in dynamic digital information environments.
Abdullah, Muhammad Ateeb Ather, Kinza Sardar, Zulaikha Fatima, Grigori Sidorov, Carlos Guzmán Sánchez-Mejorada, Rolando Quintero Téllez, Miguel Jesús Torres Ruiz   +7 more
doaj   +1 more source