scholarly journals The Clickwrap: A Political Economic Mechanism for Manufacturing Consent on Social Media

2018 ◽  
Vol 4 (3) ◽  
pp. 205630511878477 ◽  
Author(s):  
Jonathan A. Obar ◽  
Anne Oeldorf-Hirsch
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Agenda Setting ◽  
Survey Analysis ◽  
User Interactions ◽  
Qualitative Survey ◽  
Media Services ◽  
Social Media Service ◽  
Political Economic ◽  
Economic Function

The clickwrap is a digital prompt that facilitates consent processes by affording users the opportunity to quickly accept or reject digital media policies. A qualitative survey analysis was conducted ( N = 513), assessing user interactions with the consent materials of a fictitious social media service, NameDrop. Findings suggest that clickwraps serve a political economic function by facilitating the circumvention of consent materials. Herman and Chomsky’s notion of the “buying mood” guides the analysis to analogize how social media maintain flow to monetized sections of services while diverting attention from policies that might encourage dissent. Clickwraps accomplish this through an agenda-setting function whereby prompts encouraging circumvention are made more prominent than policy links. Results emphasize that clickwraps discourage engagement with privacy and reputation protections by suggesting that consent materials are unimportant, contributing to the normalization of this circumvention. The assertion that clickwraps serve a political economic function suggests that capitalist methods of production are successfully being integrated into social media services and have the ability to manufacture consent.

Agenda Setting through Social Media: The Importance of Incidental News Exposure and Social Filtering in the Digital Era

2017 ◽  
Vol 71 (2) ◽  
pp. 482-494 ◽  
Author(s):  
Jessica T. Feezell
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Agenda Setting ◽  
Political Information ◽  
Issue Salience ◽  
Social Filtering ◽  
The Public ◽  
Mainstream Media ◽  
Public Agenda ◽  
Perceived Importance

Conventional models of agenda setting hold that mainstream media influence the public agenda by leading audience attention, and perceived importance, to certain issues. However, increased selectivity and audience fragmentation in today’s digital media environment threaten the traditional agenda-setting power of the mass media. An important development to consider in light of this change is the growing use of social media for entertainment and information. This study investigates whether mainstream media can influence the public agenda when channeled through social media. By leveraging an original, longitudinal experiment, I test whether being exposed to political information through Facebook yields an agenda-setting effect by raising participants’ perceived importance of certain policy issues. Findings show that participants exposed to political information on Facebook exhibit increased levels of issue salience consistent with the issues shared compared with participants who were not shown political information; these effects are strongest among those with low political interest.

Sentiment Analysis of Chinese Micro Blog Using Machine Learning and an Improved Feature Selection Method

2014 ◽  
Vol 631-632 ◽  
pp. 1219-1223
Author(s):  
Jia Hao Chen ◽  
Jian Hua Wu
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Feature Selection ◽  
Sentiment Analysis ◽  
Rapid Development ◽  
Feature Selection Method ◽  
Selection Method ◽  
Media Services ◽  
Social Media Service ◽  
Better Than

With the rapid development of Internet and occurrence of social media services, many users are becoming the creators of social information. However, the normal manual work can't deal with a large number of subjective messages. As a new kind of social media service, micro blog has been widely accepted and can be used for sentiment analysis. This paper compared performances of three machine learning methods on sentiment analysis of Chinese micro blog. We also proposed an improved feature selection method that increases the accuracy of classification. Experiment results show that SVM is closed to Naïve Bayes and they are better than logistic regression in most cases.

The digital democratic dividend

2019 ◽  
Vol 10 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Michael Starks
Keyword(s):  
Social Media ◽  
Civil Society ◽  
Digital Media ◽  
Effective Action ◽  
Fake News ◽  
Internet Search ◽  
Traditional Media ◽  
Governance Framework ◽  
Public Campaign ◽  
Media Services

This commentary proposes a public campaign to counter the threat to standards of journalism posed by the expansion of digital media. It looks in particular at the lack of editorial oversight of material purporting to be news offered by Internet search and social media services. The call to regulate these services in order to combat so-called ‘fake news’ comes up against the awkward question of ‘who would regulate in the name of whom?’. To picture a way forward it is necessary to understand the governance framework within which these services operate. This leads to the answer that effective action will require pressure from civil society and the traditional media.

scholarly journals Trolls, Pressure and Agenda: The discursive fight on Twitter in Turkey

2021 ◽  
Vol 9 (4) ◽  
pp. 39-51
Author(s):  
Uğur Baloğlu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Digital Media ◽  
Agenda Setting ◽  
Communication Strategy ◽  
Communicative Rationality ◽  
Political Pressure ◽  
Traditional Media ◽  
The Media ◽  
New Form

Censorship, banning, and imprisonment are different methods used to suppress dissenting voices in traditional media and have now evolved into a new form with bot and troll accounts in the digital media age in Turkey. Is it possible to construct a bloc with counter-trolls against the escalating political pressure on the media in the post-truth era? Are counter-trolls capable of setting the agenda? This article discusses the possibility of constructing a bloc against the escalating political pressure in Turkey on the media through counter-trolls in the context of communicative rationality. First, it observes the ruling party’s troll politics strategy on Twitter, then examines the counter-discourses against political pressure today; thereafter it analyzes the discourse in hashtags on the agenda of the Boğaziçi University protests. Firstly, 18,000 tweets are examined to understand the suppress-communication strategy of the AK Party trolls. Secondly, the agenda-setting capacity of counter-trolls is observed between January 1, 2020, and February 5, 2021, and 18,000 tweets regarding Boğaziçi protests are examined to analyze the communication strategy of the counter-trolls. The study shows that the populist government instrumentalizes communication in social media, and Twitter does not have enough potential for the Gramscian counter-hegemony, but the organized actions and discourses have the potential to create public opinion.

Effects of Image Upload on Social Media as Media Promotion in Journal Publishers

CCIT Journal ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 20-31
Author(s):  
Untung Rahardja ◽  
Ani Wulandari ◽  
Marviola Hardini
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Digital Content ◽  
Three Solutions ◽  
Conventional Process ◽  
Promotion System

Digital content is content in various formats, whether written, image, video, audio or combination so that it can be read, displayed or played by a computer and easily sent or hared through digital media. Digital content has abundant benefits, especially in the field of promotion. Where when a place of business or a body wants to introduce a product or service that is owned, it definitely requires content such as images as a promotional media. However, if you have to distribute posters to everyone you meet, it is not in line with current technological advancements because you are still using a conventional process. Therefore, to overcome this problem, social media can be used to process digital content easily and quickly. In this study, there are 3 (three) problems that will be overcome by 2 (two) methods, and 3 (three) solutions are produced. The advantage of digital content in social media is that it can be accessed anytime and anywhere, so it is concluded that the use of digital content in social media is able to overcome problems and is a creativepreneur effort found in the promotion system of a journal publisher.   Keywords—Digital Content, Creativepreneur, ATT Journal, Social Media

“Tradition,” Vernacularism, and Learning to Be a Folk Musician With Social Media

2020 ◽  
pp. 442-466
Author(s):  
Simon Keegan-Phipps ◽  
Lucy Wright
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Case Studies ◽  
Folk Music ◽  
Learning Mechanisms ◽  
Media Technologies ◽  
Arts And Humanities ◽  
The Arts ◽  
The Social ◽  
Social Shaping

This chapter considers the role of social media (broadly conceived) in the learning experiences of folk musicians in the Anglophone West. The chapter draws on the findings of the Digital Folk project, funded by the Arts and Humanities Research Council (UK), and begins by summarizing and problematizing the nature of learning as a concept in the folk music context. It briefly explicates the instructive, appropriative, and locative impacts of digital media for folk music learning before exploring in detail two case studies of folk-oriented social media: (1) the phenomenon of abc notation as a transmissive media and (2) the Mudcat Café website as an example of the folk-oriented discussion forum. These case studies are shown to exemplify and illuminate the constructs of traditional transmission and vernacularism as significant influences on the social shaping and deployment of folk-related media technologies. The chapter concludes by reflecting on the need to understand the musical learning process as a culturally performative act and to recognize online learning mechanisms as sites for the (re)negotiation of musical, cultural, local, and personal identities.

Indigenous language newspapers and the digital media conundrum in Africa

2021 ◽  
pp. 026666692098340
Author(s):  
Kevin Onyenankeya
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Digital Transformation ◽  
Qualitative Approach ◽  
Indigenous Language ◽  
Technological Determinism ◽  
Traditional Media ◽  
Digital Revolution ◽  
The Future ◽  
Major Factors

The future of journalism is being shaped by the convergence of technology and societal shifts. For indigenous language press in Africa battling to stay afloat amidst stiff competition from traditional media, the pervasive and rapidly encroaching digital transformation holds both opportunities and potential threats. Using a qualitative approach, this paper examined the implication of the shift to digital media for the future of the indigenous language newspaper in Africa and identifies opportunities for its sustainability within the framework of the theories of technological determinism and alternative media. The analysis indicates poor funding, shrinking patronage, and competition from traditional and social media as the major factors facing indigenous newspapers. It emerged that for indigenous language newspapers to thrive in the rapidly changing and technology-driven world they need to not only adapt to the digital revolution but also explore a business model that combines a futuristic outlook with a practical approach.

scholarly journals Social Media Influencer’s Reputation: Developing and Validating a Multidimensional Scale

2021 ◽  
Vol 13 (2) ◽  
pp. 631
Author(s):  
Eun Ah Ryu ◽  
Eun Kyoung Han
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Economic Value ◽  
Reliability And Validity ◽  
Political Influence ◽  
Measurement Tool ◽  
Opinion Formation ◽  
Consumption Behavior ◽  
The Social ◽  
The Media

Since the introduction of smartphones in 2009, social networking services (SNS), which have seen a surge in users, facilitated changes in the media environment along with social influence that has increased the economic value and political influence of SNS. In particular, as consumers’ media use and consumption behavior change around digital media, social media plays a very important role in consumers’ lives. From this perspective, influencers who influence not only consumers’ consumption behavior, but also decision-making and opinion formation based on social media are attracting attention. Therefore, the aim of this study was to develop items to measure an influencer’s reputation as a new source of information in the SNS environment; no previous researchers have presented generalized measurement items for an influencer’s reputation. We intended to identify what dimensions and items in the existing literature could effectively measure a social media influencer’s reputation and to verify each item’s relevance as a measure of a social media influencer’s reputation. Based on in-depth interviews with 30 experts and empirical findings from 557 adults, this study identified dimensions that impact on a consumer’s perception of a social media influencer and developed a scale. The results showed that the social media Influencer’s Reputation scale comprises four distinctive dimensions: Communication skills, influence, authenticity, and expertise. Additionally, the reliability and validity of the scale were assessed, using exploratory and confirmatory analyses and construct validity. The findings confirmed that the social media influencer’s reputation scale measurement items, in this study, can be used as a consistent measurement tool for each dimension. It is also important to develop value in favor of the marketing strategy by increasing value through the influencer’s reputation.

scholarly journals PARE0012 AWARENESS CAMPAING “LUPUS.GR 2020”

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1292.2-1292
Author(s):  
K. Antonopoulou ◽  
M. Konstantinidis
Keyword(s):  
Social Media ◽  
Digital Media ◽  
High Impact ◽  
Direct Mail ◽  
Press Conference ◽  
International Ngos ◽  
Help Line ◽  
Telephone Calls

Background:LUPUS GR 2020Objectives:To sensitize and educate the wide public about lupusTo contribute to the process of de-stigmatization as the rigid problem of prejudice and stigma prevails.Methods:The campaign “LUPUS GR 2020” consists of photographs, each of which has a different message for Lupus and 2 TV spots. The well know artists participated did not take any fee.The campaign consists of Press Announcements in digital and off digital media, in Social Media (Instagram - Twitter - Facebook), in Eleana Site and in YouTubePost of the artists in their personal social media pagesPress ConferenceDirect mail in international NGOs e.g. Lupus Europe, PAIN ALLIANCE EUROPE, AGORA PLATFORM, etc.Results:We announced the campaign on January 24, 2020. Until end of January, we have 36 press clipping, 3 TV interviews, more than 35.000 views of the post in our fb and increase of telephone calls in our help line about lupusConclusion:The campaign has a high impact in the wide public as well as in all the stakeholders.Figure:Disclosure of Interests:None declared

scholarly journals A Web Interface for Analyzing Hate Speech

2021 ◽  
Vol 13 (3) ◽  
pp. 80
Author(s):  
Lazaros Vrysis ◽  
Nikolaos Vryzas ◽  
Rigas Kotsakis ◽  
Theodora Saridou ◽  
Maria Matsiola ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Graphical User Interface ◽  
Hate Speech ◽  
Web Interface ◽  
Learning Models ◽  
Speech Detection ◽  
Media Services ◽  
The Web ◽  
Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

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