Results 61 to 70 of about 458 (165)
A Survey on the Criteria Used to Judge (Fake) News in Italian Population
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 +2 more
wiley +1 more source
Using Neural Network for Identifying Clickbaits in Online News Media [PDF]
Online news media sometimes use misleading headlines to lure users to open the news article. These catchy headlines that attract users but disappointed them at the end, are called Clickbaits. Because of the importance of automatic clickbait detection in online medias, lots of machine learning methods were proposed and employed to find the clickbait ...
Omidvar, Amin, Jiang, Hui, An, Aijun
openaire +2 more sources
Abstract Misinformation is a complex and urgent sociotechnical problem that requires meaningful governance, in addition to technical efforts aimed at detection or classification and intervention or literacy efforts aimed at promoting awareness and identification.
Madelyn Rose Sanfilippo +2 more
wiley +1 more source
The tentacles of surveillance: Cephalopods and United States satellite intelligence
Abstract This article examines the symbol placed on a US spy satellite, National Reconnaissance Office Launch–39 (NROL‐39). In 2013, NROL‐39 was launched into space, the payload vehicle and mission patch emblazoned with a gigantic octopus, its tentacles surrounding the globe, and the words “Nothing Is Beyond Our Reach” written below the globe.
Andrew Bickford
wiley +1 more source
Screenshotting partial perspectives: The case of Danish mink in Google search results
Abstract Google has become an “increasing invisible information infrastructure” that “organizes the world's information,” simultaneously shaping and organizing users through “ubiquitous googling” with keywords as a daily habit of new media. However, there is limited knowledge about how Google ranks information, intervenes, and the veracity of its ...
Renée Ridgway
wiley +1 more source
Abstract Artificial intelligence (AI) has become a part of the mainstream public discourse beyond expert communities about its risks, benefits, and need for regulation. In particular, since 2014, the news media have intensified their coverage of this emerging technology and its potential impact on most domains of society.
Andreas Schwarz +1 more
wiley +1 more source
This study focuses on the case of news headlines in current online journalism, looking into the current possibilities opened by ChatGPT to generate such texts in an attention-grabbing manner.
Vasile Gherheș +2 more
doaj +1 more source
Unveiling Clickbait: Analyzing SPOK Structure Errors in News Headlines
Clickbait has become a popular strategy for attracting readers' attention in the digital era, but it often disregards fundamental principles of clear and informative headline writing. This study aims to analyze errors in the Subject, Predicate, Object, and Adverbial (SPOK) structure of clickbait headlines frequently used by online media.
Rosita Sofyaningrum, Tanti Latifah
openaire +1 more source
The Unequal Challenge of Learning from Under-Informative News
Political news consumption is highly uneven today: few people consume from news outlets directly, while many encounter news incidentally through social media and aggregators.
Andrew Trexler
doaj +1 more source
A comprehensive review of machine learning-based models for fake news detection [PDF]
The internet's role in the spread of fake news has made it a serious problem that calls for sophisticated techniques for its automatic detection. To counter the quick spread of misleading material on social media sites, including Facebook, Twitter ...
Dheyaa Radhi Ahmed +4 more
doaj +1 more source

