What You See is What You Get? Automatic Image Verification for Online News Content

2016 ◽  
Author(s):  
Sarah Elkasrawi ◽  
Andreas Dengel ◽  
Ahmed Abdelsamad ◽  
Syed Saqib Bukhari
Keyword(s):  
Online News ◽  
News Content

scholarly journals There can be only one truth: Ideological segregation and online news communities in Ukraine

2021 ◽  
pp. 174276652110099
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh
Keyword(s):  
Online News ◽  
Online Platform ◽  
News Content ◽  
Echo Chambers ◽  
Region Of Residence ◽  
Online Environments ◽  
Partisan News

The paper examines ideological segregation among Ukrainian users in online environments, using as a case study partisan news communities on Vkontakte, the largest online platform in post-communist states. Its findings suggest that despite their insignificant numbers, partisan news communities attract substantial attention from Ukrainian users and can encourage the formation of isolated ideological cliques – or ‘echo chambers’ – that increase societal polarisation. The paper also investigates factors that predict users’ interest in partisan content and establishes that the region of residence is the key predictor of selective consumption of pro-Ukrainian or pro-Russian partisan news content.

Online news flow: Temporal/spatial exploitation and credibility

Journalism ◽  
2016 ◽  
Vol 18 (9) ◽  
pp. 1184-1205 ◽  
Author(s):  
Sujin Choi ◽  
Jeongseob Kim
Keyword(s):  
South Korea ◽  
Nationwide Survey ◽  
Online News ◽  
The Internet ◽  
Spatial Characteristics ◽  
News Content ◽  
The Press ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Negative Predictor

This study examines how repetitive news publishing on the Internet has changed evaluations of the credibility of the press and news aggregators. The temporal and spatial characteristics of the Internet have facilitated repetitive publishing of almost identical news content by the same news companies. The mechanism of repetitive news is based on the interplay between journalistic and algorithmic curations, which coexist on news aggregation sites. Based on a nationwide survey in South Korea, we found that the repetitive-news block was the strongest (and negative) predictor of the credibility of both the press and news aggregators. The more frequently people are exposed to repetitive news and the more they perceive it as being problematic, the less likely they are to regard the press and news aggregators as credible. These results have implications for online news flow and credibility research.

Negativity Bias or Backlash: Interaction With Civil and Uncivil Online Political News Content

2017 ◽  
Vol 47 (6) ◽  
pp. 815-837 ◽  
Author(s):  
Ashley Muddiman ◽  
Jamie Pond-Cobb ◽  
Jamie E. Matson
Keyword(s):  
Political Party ◽  
Online News ◽  
Negativity Bias ◽  
Political News ◽  
News Content

Researchers condemn the effects of news but have only recently turned their attention to determining the extent to which individuals engage with news. Within the context of online uncivil news, the current project investigates whether negativity always increases engagement with news. The results of two experiments demonstrate that civility in the news increased news engagement, especially compared to news with the most incivility. News articles that included multiple types of incivility and news articles that prompted individuals to perceive that an out-group political party was behaving uncivilly discouraged people from engaging with online news. The studies contribute theoretically to negativity bias and incivility research and signal that negativity does not always attract clicks.

STRATEGIES FOR IMPOSING A CHARGE ON ONLINE NEWS CONTENT DURING THE COVID-19 PANDEMIC

2020 ◽  
Author(s):  
Ján Višňovský
Keyword(s):  
News Media ◽  
Mobile Applications ◽  
Online News ◽  
The Internet ◽  
Information Graphics ◽  
News Content ◽  
News Websites ◽  
The Subject ◽  
Global Events ◽  
A Charge

The COVID-19 pandemic not only marked global events in 2020, but also left its marks on news media functioning. The Coronavirus has become a thematic agenda of the newscast of the last month in global, national, and regional media. While radio and TV stations came up with special programmes on the subject of the pandemic, in newspapers, on the Internet and in mobile applications there appeared specialized sections and columns, in which media published news items thematically related to the Coronavirus. Some TV stations made their archives and other usually paid services available free of charge, and mobile operators offered their customers unlimited data. However, the approach to the charging a toll for the Internet content has also changed. While some media made all content available to their readers, others unlocked, for instance, news items and various content devoted to the pandemic (comments, analyzes, information graphics, etc.). The purpose of the paper is to point out different approaches to the strategy of imposing a charge on the content of news websites during the COVID-19 pandemic, on the example of the most widely read Slovak news portals.

scholarly journals The processing and evaluation of news content on social media is influenced by peer-user commentary

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Arnout B. Boot ◽  
Katinka Dijkstra ◽  
Rolf A. Zwaan
Keyword(s):  
Social Media ◽  
General Public ◽  
Online News ◽  
Negativity Bias ◽  
Online Experiment ◽  
Negative Attitudes ◽  
News Content ◽  
User Comments ◽  
Negative Comments ◽  
Persuasive Effect

AbstractContemporary news often spreads via social media. This study investigated whether the processing and evaluation of online news content can be influenced by Likes and peer-user comments. An online experiment was designed, using a custom-built website that resembled Facebook, to explore how Likes, positive comments, negative comments, or a combination of positive and negative comments would affect the reader’s processing of news content. The results showed that especially negative comments affected the readers’ personal opinions about the news content, even in combination with other positive comments: They (1) induced more negative attitudes, (2) lowered intent to share it, (3) reduced agreement with conveyed ideas, (4) lowered perceived attitude of the general public, and (5) decreased the credibility of the content. Against expectations, the presence of Likes did not affect the readers, irrespective of the news content. An important consideration is that, while the negative comments were persuasive, they comprised subjective, emotive, and fallacious rhetoric. Finally, negativity bias, the perception of expert authority, and cognitive heuristics are discussed as potential explanations for the persuasive effect of negative comments.

Discovering News Frames

2020 ◽  
pp. 702-721
Author(s):  
Loretta H. Cheeks ◽  
Tracy L. Stepien ◽  
Dara M. Wald ◽  
Ashraf Gaffar
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Online News ◽  
Machine Learning Algorithms ◽  
News Frames ◽  
Water Insecurity ◽  
News Content ◽  
Making Sense ◽  
Mathematical Techniques ◽  
Definition Of

The Internet is a major source of online news content. Current efforts to evaluate online news content including text, storyline, and sources is limited by the use of small-scale manual techniques that are time consuming and dependent on human judgments. This article explores the use of machine learning algorithms and mathematical techniques for Internet-scale data mining and semantic discovery of news content that will enable researchers to mine, analyze, and visualize large-scale datasets. This research has the potential to inform the integration and application of data mining to address real-world socio-environmental issues, including water insecurity in the Southwestern United States. This paper establishes a formal definition of framing and proposes an approach for the discovery of distinct patterns that characterize prominent frames. The authors' experimental evaluation shows the proposed process is an effective approach for advancing semi-supervised machine learning and may assist in advancing tools for making sense of unstructured text.

Games and Quizzes in Online Journalism

2016 ◽  
pp. 329-355
Author(s):  
Bartosz W. Wojdynski
Keyword(s):  
Online News ◽  
The State ◽  
Online Journalism ◽  
News Content ◽  
Interactive Games ◽  
News Organizations ◽  
Challenges And Opportunities ◽  
Viral Nature ◽  
The Impact ◽  
To Receive

The competition for online news page views increasingly involves strategies designed to promote the “viral” nature of content, and to capitalize on the content's spread by ensuring that the content does not quickly lose timeliness or relevance. As a result of the pressure for these stories, news experiences which can be revisited by consumers are at a premium. In this ecosystem, interactive games and quizzes which can be played to receive different feedback or reach a different ending offer promise for news organizations to receive ongoing and widespread reward for their efforts. This chapter provides an overview of the state of gamification in journalism, challenges and opportunities for the growth of games in online news, and discusses evidence for the impact of increasingly gamified news content on how users process and perceive news information.

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