Mapping Covid-19 Governance in Lebanon: Territories of Sectarianism and Solidarity

2021 ◽  
pp. 1-20
Author(s):  
Mona Harb ◽  
Ahmad Gharbieh ◽  
Mona Fawaz ◽  
Luna Dayekh
Keyword(s):  
Social Media ◽  
Political Parties ◽  
News Media ◽  
Political System ◽  
Online News ◽  
Sources Of Information ◽  
Public Agencies

Abstract Many states, including Lebanon, have used the Covid-19 pandemic as an occasion to reassert their power and to consolidate their policing and repressive apparatuses. We are far from a seamless scenario, however. Rather than a mere reproduction of the sectarian political system, we argue in this paper that the governance of the pandemic in Lebanon reveals tensions between powerful political parties, weakened public agencies, as well as multiple solidarity groups with diverging aspirations, colliding over the imagined future of the country. Using various sources of information (broadcast, print and online news media, social media), we build a database of the types of actors and the categories of actions across locations, and analyze the territorial and political variations of the governance of the pandemic. The paper demonstrates that the Covid-19 response in Lebanon operates through ongoing negotiations over the national territory in which timid yet visible aspirations for a non-sectarian country confront sectarian territorialities through back-and-forth cycles.

scholarly journals Introduction to special issue about election reporting: Why journalism (still) matters

Journalism ◽  
2019 ◽  
Vol 20 (8) ◽  
pp. 985-993 ◽  
Author(s):  
Stephen Cushion ◽  
Daniel Jackson
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Political Communication ◽  
News Media ◽  
Election Campaigns ◽  
Special Issue ◽  
Technological Advances ◽  
Campaign Coverage ◽  
Election Coverage ◽  
Social Media Platforms

This introduction unpacks the eight articles that make up this Journalism special issue about election reporting. Taken together, the articles ask: How has election reporting evolved over the last century across different media? Has the relationship between journalists and candidates changed in the digital age of campaigning? How do contemporary news values influence campaign coverage? Which voices – politicians, say or journalists – are most prominent? How far do citizens inform election coverage? How is public opinion articulated in the age of social media? Are sites such as Twitter developing new and distinctive election agendas? In what ways does social media interact with legacy media? How well have scholars researched and theorised election reporting cross-nationally? How can research agendas be enhanced? Overall, we argue this Special Issue demonstrates the continued strength of news media during election campaigns. This is in spite of social media platforms increasingly disrupting and recasting the agenda setting power of legacy media, not least by political parties and candidates who are relying more heavily on sites such as Facebook, Instagram and Twitter to campaign. But while debates in recent years have centred on the technological advances in political communication and the associated role of social media platforms during election campaigns (e.g. microtargeting voters, spreading disinformation/misinformation and allowing candidates to bypass media to campaign), our collection of studies signal the enduring influence professional journalists play in selecting and framing of news. Put more simply, how elections are reported still profoundly matters in spite of political parties’ and candidates’ more sophisticated use of digital campaigning.

Political Knowledge and Misinformation in the Era of Social Media: Evidence From the 2015 UK Election

2020 ◽  
pp. 1-21
Author(s):  
Kevin Munger ◽  
Patrick J. Egan ◽  
Jonathan Nagler ◽  
Jonathan Ronen ◽  
Joshua Tucker
Keyword(s):  
Social Media ◽  
Political Parties ◽  
News Media ◽  
Political Knowledge ◽  
Public Affairs ◽  
Political Information ◽  
The Political ◽  
Election Campaign ◽  
Social Media Platform ◽  
Media Platform

Abstract Does social media educate voters, or mislead them? This study measures changes in political knowledge among a panel of voters surveyed during the 2015 UK general election campaign while monitoring the political information to which they were exposed on the Twitter social media platform. The study's panel design permits identification of the effect of information exposure on changes in political knowledge. Twitter use led to higher levels of knowledge about politics and public affairs, as information from news media improved knowledge of politically relevant facts, and messages sent by political parties increased knowledge of party platforms. But in a troubling demonstration of campaigns' ability to manipulate knowledge, messages from the parties also shifted voters' assessments of the economy and immigration in directions favorable to the parties' platforms, leaving some voters with beliefs further from the truth at the end of the campaign than they were at its beginning.

New Indian online rules risk state overreach and abuse

2021 ◽  
Keyword(s):  
Social Media ◽  
News Media ◽  
Public Discourse ◽  
Hate Speech ◽  
Central Government ◽  
Service Providers ◽  
Online News ◽  
Content Type ◽  
Digital Service ◽  
The Government

Significance The new rules follow a stand-off between Twitter and the central government last month over some posts and accounts. The government has used this stand-off as an opportunity not only to tighten rules governing social media, including Twitter, WhatsApp, Facebook and LinkedIn, but also those for other digital service providers including news publishers and entertainment streaming companies. Impacts Government moves against dominant social media platforms will boost the appeal of smaller platforms with light or no content moderation. Hate speech and harmful disinformation are especially hard to control and curb on smaller platforms. The new rules will have a chilling effect on online public discourse, increasing self-censorship (at the very least). Government action against online news media would undercut fundamental democratic freedoms and the right to dissent. Since US-based companies dominate key segments of the Indian digital market, India’s restrictive rules could mar India-US ties.

Young adults know that their issues are not represented in the news: Israeli young adults and mainstream news media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benny Nuriely ◽  
Moti Gigi ◽  
Yuval Gozansky
Keyword(s):  
Social Media ◽  
Young Adults ◽  
Content Analysis ◽  
Social Relations ◽  
News Media ◽  
Media Coverage ◽  
Online News ◽  
Content Type ◽  
Mainstream Media ◽  
The Media

Purpose This paper aims to analyze the ways socio-economic issues are represented in mainstream news media and how it is consumed, understood and interpreted by Israeli young adults (YAs). It examines how mainstream media uses neo-liberal discourse, and the ways YAs internalize this ethic, while simultaneously finding ways to overcome its limitations. Design/methodology/approach This was a mixed methods study. First, it undertook content analysis of the most popular Israeli mainstream news media among YAs: the online news site Ynet and the TV Channel 2 news. Second, the authors undertook semi-structured in-depth interviews with 29 Israeli YAs. The analysis is based on an online survey of 600 young Israelis, aged 18–35 years. Findings Most YAs did not perceive mainstream media as enabling a reliable understanding of the issues important to them. The content analysis revealed that self-representation of YAs is rare, and that their issues were explained, and even resolved, by older adults. Furthermore, most of YAs' problems in mainstream news media were presented using a neo-liberal perspective. Finally, from the interviews, the authors learned that YAs did not find information that could help them deal with their most pressing economic and social issue, in the content offered by mainstream media. For most of them, social media overcomes these shortcomings. Originality/value Contrary to research that has explored YAs’ consumerism of new media outlets, this article explores how YAs in Israel are constructed in the media, as well as the way in which YAs understand mainstream and new social media coverage of the issues most important to them. Using media content analysis and interviews, the authors found that Young Adults tend to be ambivalent toward media coverage. They understand the lack of media information: most of them know that they do not learn enough from the media. This acknowledgment accompanies their tendency to internalize the neo-liberal logic and conservative Israeli national culture, in which class and economic redistribution are largely overlooked. Mainstream news media uses neo-liberal discourse, and young adults internalize this logic, while simultaneously finding ways to overcome the limitations this discourse offers. They do so by turning to social media, mainly Facebook. Consequently, their behavior maintains the logic of the market, while also developing new social relations, enabled by social media.

scholarly journals Analysis on Fake News Detection Methodologies

2020 ◽  
Vol 9 (1) ◽  
pp. 1572-1575
Keyword(s):  
Social Media ◽  
News Media ◽  
Low Cost ◽  
Past Research ◽  
Online News ◽  
Easy Access ◽  
Accurate Information ◽  
Fake News ◽  
The Real ◽  
Online Social Media

Fake news is a coinage often used to refer to fabricated news that uses eye-catching headlines for increased sales rather than legitimate well-researched news, spread via online social media. Emergence of fake news has been increased with the immense use of online news media and social media. Low cost, easy access and rapid dissemination of information lead people to consume news from social media. Since the spread rate of these contents are faster it becomes difficult to identify the fake news from the accurate information. People can download articles from sites, share the content, re-share from others and by the end of the day the false information has gone far from its original site that it becomes very difficult to compare with the real news. It is a long standing problem that affects the digital social media due to its serious threats of misleading information, it creates an immense impact on the society. Hence the identification of such news are relevant and so certain measures needs to be taken in order to reduce or distinguish between the real and fake news. This paper provides a survey on recent past research papers done on this domain and provides an idea on different techniques on machine learning and deep learning that could help in the identification of fake and real news.

scholarly journals Investigating evaluation and news values in news items that are shared through social media

Corpora ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 227-257 ◽  
Author(s):  
Monika Bednarek
Keyword(s):  
Social Media ◽  
News Media ◽  
English Language ◽  
Online News ◽  
News Values ◽  
News Value ◽  
Social Media Platforms ◽  
Linguistic Focus ◽  
News Corpus ◽  
News Sharing

The sharing of news through social media platforms is now a significant part of mainstream online media use and is an increasingly important consideration in journalism practice and production. This paper analyses the linguistic characteristics of online news sharing on Facebook, with a focus on evaluation and news values in a corpus of the 100 ‘most shared’ news items from ‘heritage’ English-language news media organisations. Analyses combine corpus linguistic techniques (semantic tagging, frequency analysis, concordancing) with manual, computer-aided annotation. The main focus is on discursive news values analysis (DNVA), which examines how news values are established through semiotic resources, enabling new empirical insights into shared news and adding a specific linguistic focus to the emerging literature on news sharing. Results suggest that all ‘traditional’ news values appear to be construed in the shared news corpus and that there is variety in terms of the items that are widely shared. At the same time, the news values of Eliteness, Superlativeness, Unexpectedness, Negativity and Timeliness seem especially important in the corpus. The findings also indicate that ‘unexpected’ and ‘affective’ news items may be shared more, and that Negativity is a more important news value than Positivity.

scholarly journals Between Bullshit and Faketuality

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Elena Pilipets
Keyword(s):  
Social Media ◽  
News Media ◽  
Search Engines ◽  
Online News ◽  
Refugee Crisis ◽  
Visual Content ◽  
Viral Spread ◽  
The Everyday ◽  
Digital Methods ◽  
Media Environments

This paper explores the anomalous role that today’s social media environments play in the dynamics of affective amplification through viral visual content. Affected by the post 9/11 logic of media securitization, the circulation of manipulated images and internet memes has created an atmosphere of controversial sentiments and irrational facts. The prevalent experience of disorientation that perpetuates itself in these relations feeds on the everyday micro-anticipations of claim and counterclaim, making the double binary of fact and fiction, source and adaptation impossible to sustain. Against this background, the discussion will focus on how the viral spread of one particular image during the refugee crisis has contributed to the emergence of the issue of ‘terrorist refugees’. Exploring the infrastructures of media alert behind this issue, I address the re- and premediating forces at play in the circulation of the image as faketual. Rather than relying on the availability of valid sources, networked formations of faketuality feel true even they are known to be fabricated. I develop this argument by adapting digital methods to reflect on the shifts in controversial relations of relevance/visibility as they unfold through our everyday encounters with search engines, online news media, and social platforms.

Can Indian journalism survive the onslaught of social media?

2019 ◽  
Vol 15 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Usha M Rodrigues
Keyword(s):  
Social Media ◽  
Political Parties ◽  
News Media ◽  
Public Discourse ◽  
Party Leaders ◽  
Online Networks ◽  
The Public ◽  
Mainstream Media ◽  
Use Of Social Media ◽  
Effective Use

In recent times, researchers have examined the Indian Prime Minister Narendra Modi’s use of social media to directly connect with his followers, while largely shunning the mainstream media. This strategy of direct communication with their constituents has been adopted by other political parties too, with opposition party leaders hosting ‘Facebook Live’ sessions and tweeting their messages. A large proportion of Indian voters, who increasingly own mobile phones, are enjoying being part of the ‘like’ and ‘share’ online networks. What does this effective use of social media by Indian political parties mean for the public discourse in India? This article presents the view that this phenomenon is more than Modi’s ‘selfie nationalism’ or his attempt to marginalize the news media. The article argues that there is a structural shift in the Indian public sphere, which might prove to be the greatest challenge to Indian journalism.

scholarly journals A Supervised Approach to Predict the Hierarchical Structure of Conversation Threads for Comments

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
A. Balali ◽  
H. Faili ◽  
M. Asadpour
Keyword(s):  
Social Media ◽  
Online News ◽  
Sources Of Information ◽  
Chronological Order ◽  
News Websites ◽  
News Agencies ◽  
Semantic Tree ◽  
The Hierarchical Structure ◽  
Thread Structure ◽  
The Web

User-generated texts such as comments in social media are rich sources of information. In general, the reply structure of comments is not publicly accessible on the web. Websites present comments as a list in chronological order. This way, some information is lost. A solution for this problem is to reconstruct the thread structure (RTS) automatically. RTS predicts a semantic tree for the reply structure, useful for understanding users’ behaviours and facilitating follow of the actual conversation streams. This paper works on RTS task in blogs, online news agencies, and news websites. These types of websites cover various types of articles reflecting the real-world events. People with different views participate in arguments by writing comments. Comments express opinions, sentiments, or ideas about articles. The reply structure of threads in these types of websites is basically different from threads in the forums, chats, and emails. To perform RTS, we define a set of textual and nontextual features. Then, we use supervised learning to combine these features. The proposed method is evaluated on five different datasets. The accuracy of the proposed method is compared with baselines. The results reveal higher accuracy for our method in comparison with baselines in all datasets.

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