Discovering News Frames: Exploring Text, Content, and Concepts in Online News Sources to Address Water Insecurity in the Southwest Region

2016 ◽  
Author(s):  
Loretta H. Cheeks ◽  
Tracy L. Stepien ◽  
Dara M. Wald
Keyword(s):  
Online News ◽  
News Frames ◽  
Water Insecurity ◽  
News Sources ◽  
Southwest Region ◽  
Text Content

“What’s going on” in Ferguson? Online news frames of protest at the police killing of Michael Brown

2020 ◽  
Vol 23 (6) ◽  
pp. 882-901
Author(s):  
Travis A. Riddle ◽  
Kate M. Turetsky ◽  
Julia G. Bottesini ◽  
Colin Wayne Leach
Keyword(s):  
African Americans ◽  
News Coverage ◽  
Online News ◽  
News Frames ◽  
General Audience ◽  
News Sources ◽  
Black Teenager ◽  
Racial Injustice ◽  
Police Shooting ◽  
Different Sources

Public reactions to protests are often divided, with some viewing the protest as a legitimate response to injustice and others perceiving the protest as illegitimate. We examine how online news sources oriented to different audiences frame protest, potentially encouraging these divergent reactions. We focus on online news coverage following the 2014 police shooting of a Black teenager, Michael Brown. Preregistered analyses of headlines and images and their captions showed that sources oriented toward African Americans were more likely to include content conveying racial injustice and legitimacy of the subsequent protests than sources oriented toward a general audience. In contrast, general audience sources emphasized conflict between protesters and police, making fewer references to the protesters’ cause. Whereas much work on media segregation addresses the propensity of audiences to consume different sources, our work suggests that news sources may also contribute to information fragmentation by differentially framing the same events.

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.

scholarly journals A Study of a Sample of Facebook Users Finds They Do Not Seek Political News through Facebook But Are Exposed to Political News through This Medium

2018 ◽  
Vol 13 (1) ◽  
pp. 36-38
Author(s):  
Elizabeth Margaret Stovold
Keyword(s):  
Online Survey ◽  
Online News ◽  
Social Utility ◽  
Future Research ◽  
Political News ◽  
High School Degree ◽  
News Sources ◽  
News Source ◽  
Tv News ◽  
The Mean

A Review of: Schaferm, S., Sulflow, M., & Muller, P. (2017). The special taste of snack news: an application of niche theory to understand the appeal of Facebook as a source for political news. First Monday, 22(4-3). http://dx.doi.org/10.5210/fm.v22i4.7431 Abstract Objective – To investigate Facebook as a source of exposure to political news stories and to compare the reasons for using Facebook as a news source and the gratifications obtained, compared with other news sources. Design – Survey questionnaire. Setting – Facebook. Subjects – 422 German Facebook users. Methods – An online survey was developed to investigate the use of Facebook as a news source compared with other sources. Specific research questions were informed by the ‘theory of niche’ (Dimmick, 2003) which examines the coexistence and competition between different media outlets by examining the breadth, overlap and superiority of one platform over another. The survey was distributed using a ‘snowball’ technique between July and August 2015. The survey was shared by 52 student research assistants on their Facebook profiles. They asked their friends to complete the survey and share it with their own networks. Main results – The mean (M) age of the 422 respondents was 23.5 years (SD=8.25). The majority were female (61%) with a high school degree (89%). TV news and news websites were the most frequently used sources of political news. Facebook ranked third, ahead of newspapers, search engines, magazines, email provider websites, and Twitter. The mean score for the importance of Facebook as a news sources was 2.46 (SD=1.13) on a scale of 1 to 5, where 1 is low and 5 is high. This fell in the middle of the range when compared with the top ranked source assessed by importance (TV news, M 4.40, SD=0.88) and the lowest (email providers, M 1.92, SD=0.97). Users rarely visited Facebook with the purpose of finding news (M 1.59, SD=0.73). However, they estimated around 24% of the posts they see were concerned with political news, and when encountered, these stories are frequently read (M 3.53, SD=1.18). However, the level of interaction as measured by liking, commenting, sharing or status updates was low (M 1.94 SD=1.09; M 1.37, SD=0.79; M 1.51, SD=0.85 and M 1.4, SD=0.78 respectively). The ‘gratification’ categories where Facebook as a news source scored the highest were for killing time (M 2.97, SD=1.29), entertainment (M 2.92, SD=1.05), and surveillance (M 2.77, SD=1.01). When compared to newspapers and TV news, it was found that Facebook has a lower score for niche breadth, meaning that it serves a specific rather than general news function. Facebook also had a lower overlap score when compared with the other media, thereby performing a complementary function, while TV news and newspapers perform similarly. TV news scored better for providing balanced information, surveillance and social utility while Facebook scored highest for killing time. There was no difference in the category of entertainment. There was a similar picture when comparing Facebook with newspapers. Conclusion – The authors conclude that while users do not actively seek political news through Facebook, they are exposed to political news through this medium. Respondents did not consider the news to be well balanced, and that currently Facebooks’ niche is restricted to entertainment and killing time. The authors note that this may be disappointing for news organisations, but there is potential to expose large audiences to political news when they are not actively seeking it. The findings represent a specific time point in a changing landscape and future research will need to take these changes into account. Comparisons with other online news sources and the use of objective measures to validate self-reported data would be valuable areas for future research.

scholarly journals Funding Sustainable Online News: Sources of Revenue in Digital-Native and Traditional Media in Spain

2021 ◽  
Vol 13 (20) ◽  
pp. 11328
Author(s):  
Alfonso Vara-Miguel ◽  
Cristina Sánchez-Blanco ◽  
Charo Sádaba Sádaba Chalezquer ◽  
Samuel Negredo
Keyword(s):  
Business Models ◽  
Online News ◽  
General Interest ◽  
Digital Native ◽  
News Sources ◽  
Funding Sources ◽  
Digital News ◽  
Revenue Streams ◽  
Exhaustive Study ◽  
First Time

Digital news publishers strive to balance revenue streams in their business models: as standard advertising declines, alternatives for sustaining digital journalism arise in the forms of sponsored content, user donations and payments—one-off purchases, subscriptions or memberships, public or private grants, electronic commerce, events and consulting. An exhaustive study found 2874 active online news publications in Spain, and it observed the adoption of such models in early 2021. Advertising remains the most popular source of income for digital news operations (85.8%) and most sites rely on just one or two revenue streams (74.5%). We compare the cases in our census by their origin (digital-native or non-native), geography (local/regional or national/global) and topic scope (generalist or specialized). We find that traditional, national and specialized online media have a broader and more innovative revenue mix than digital-native, regional or local and general-interest news outlets. The comprehensiveness of this pioneering study sheds light for the first time on the risk that the lack of diversification and innovation in funding sources may imperil the financial sustainability of some online news operations in Spain, mostly those with a smaller scope and no backing from a traditional business, according to the results we present here.

scholarly journals Top Two News Words (By Hour)

Media-N ◽  
2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Rick Valentin
Keyword(s):  
Online News ◽  
Simple Concept ◽  
News Sources ◽  
News Source ◽  
Online Archive ◽  
Continuous Sheet ◽  
Trending Topics

The Top Two News Words project began in 2007 as a gallery piece featuring a computer and dot matrix printer linked to an online parsing routine which gathered headlines from fifteen major news sources hourly, and analyzed and reduced these headlines to the two most frequently occurring words. The resulting pairs were printed each hour on a continuous sheet of computer paper, creating a linear document of the 24/7/365 news cycle. Since 2008, the online component of the piece has been running automatically, without its physical half, publishing hourly word pairs via RSS and on Twitter and building an online archive of nearly 90,000 hours of news. Top Two News Words has consistently evoked questions of bias from its audience: “Why only these sources? Why only sources in English? Who are you to decide what is a major news source?” This is, of course, one of the desired outcomes of the project. A deeper question, which is reflected in the recent controversy and surprise over Facebook’s use of human curators for trending topics, is why don’t we investigate for bias in supposedly neutral online news aggregators such as Google? And, is it even possible to filter news programmatically without bias? I seek to use this project to illustrate the simple concept that curation, bias and reduction are not the antithesis of awareness in a world of continuous, direct news but are an essential part of navigating and understanding this world.

Whose News Can You Trust?

2014 ◽  
pp. 324-352
Author(s):  
Rick Malleus
Keyword(s):  
Peer Review ◽  
Theoretical Framework ◽  
Online News ◽  
News Sources ◽  
Definition Of ◽  
Online News Sites

This chapter proposes a framework for analyzing the credibility of online news sites, allowing diaspora populations to evaluate the credibility of online news about their home countries. A definition of credibility is established as a theoretical framework for analysis, and a framework of seven elements is developed based on the following elements: accuracy, authority, believability, quality of message construction, peer review, comparison, and corroboration. Later, those elements are applied to a variety of online news sources available to the Zimbabwean diaspora that serves as a case study for explaining the framework. The chapter concludes with a discussion of the framework in relation to some contextual circumstances of diaspora populations and presents some limitations of the framework as diaspora populations might actually apply the different elements.

Fake News Detection Using Deep Learning

2021 ◽  
pp. 440-451
Author(s):  
Varalakshmi Konagala ◽  
Shahana Bano
Keyword(s):  
Deep Learning ◽  
Uncertain Data ◽  
Online News ◽  
Sufficient Information ◽  
Fake News ◽  
Web Based ◽  
News Sources ◽  
N Gram

The engendering of uncertain data in ordinary access news sources, for example, news sites, web-based life channels, and online papers, have made it trying to recognize capable news sources, along these lines expanding the requirement for computational instruments ready to give into the unwavering quality of online substance. For instance, counterfeit news outlets were observed to be bound to utilize language that is abstract and enthusiastic. At the point when specialists are chipping away at building up an AI-based apparatus for identifying counterfeit news, there wasn't sufficient information to prepare their calculations; they did the main balanced thing. In this chapter, two novel datasets for the undertaking of phony news locations, covering distinctive news areas, distinguishing proof of phony substance in online news has been considered. N-gram model will distinguish phony substance consequently with an emphasis on phony audits and phony news. This was pursued by a lot of learning analyses to fabricate precise phony news identifiers and showed correctness of up to 80%.

A matter of cultural distinction: News consumption in the online media landscape

2016 ◽  
Vol 32 (2) ◽  
pp. 116-130 ◽  
Author(s):  
Jonas Ohlsson ◽  
Johan Lindell ◽  
Sofia Arkhede
Keyword(s):  
Cultural Capital ◽  
National Survey ◽  
Online News ◽  
Online Media ◽  
Relative Lack ◽  
News Consumption ◽  
News Sources ◽  
Reverse Pattern ◽  
The World

The world of online news is a world where news consumers must make choices among a plethora of different news sources. Previous research points towards a fragmentation of news consumption across the citizenry. However, not enough attention has been paid to class, in particular cultural capital, and how it shapes how groups in society develop preferences for different categories of online news. Drawing upon a representative national survey in Sweden ( N = 11,108), a country historically known for its egalitarian news consumption, we show that cultural capital engenders patterns of taste and distaste for different online national news providers. This is manifested in that those rich in cultural capital are more inclined to consume ‘quality’ news and to neglect ‘popular’ news. A relative lack of cultural capital is associated with a somewhat reverse pattern. News consumption in the online media landscape is a matter of cultural distinction.

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