scholarly journals THE QUR’ANIC COMMUNICATION ETHICS IN SOCIAL MEDIA

2019 ◽  
Vol 14 (1) ◽  
pp. 151-167
Author(s):  
Faizatun Khasanah
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Philosophical Analysis ◽  
Ethical Values ◽  
Communication Ethics ◽  
News Content

The politicization of religion in virtual sphere has increased significantly during the election. Political symbols are mobilized to shape public opinion, especially in social media. As a result, social media has become an arena for candidates to contest and get votes as well as political supports. This contestation involves black campaign and hoax. Using a philosophical analysis this article examines ethical values in social media based on Al-Hujarât verses. This article shows that the ethics of communication as mentioned in al-Hujarât verses describe two important points namely the producer of news (communicator) and as the news reader (communicant). Al-Hujarât explains that a communicator has to convey messages in a very sophisticated ways, avoid lowering others, dividing and ruling, circulating hoax, and adjusted to the interlocutor. As communicants need to instill critical thoughts and clarification (tabayyun) towards the truth of the news content.

Analysis of Sentiment of Moving a National Capital with Feature Selection Naive Bayes Algorithm and Support Vector Machine

2020 ◽  
Vol 4 (3) ◽  
pp. 504-512
Author(s):  
Faried Zamachsari ◽  
Gabriel Vangeran Saragih ◽  
Susafa'ati ◽  
Windu Gata
Keyword(s):  
Social Media ◽  
Support Vector Machine ◽  
Feature Selection ◽  
Public Opinion ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Capital City ◽  
Support Vector ◽  
National Capital ◽  
Bayes Algorithm

The decision to move Indonesia's capital city to East Kalimantan received mixed responses on social media. When the poverty rate is still high and the country's finances are difficult to be a factor in disapproval of the relocation of the national capital. Twitter as one of the popular social media, is used by the public to express these opinions. How is the tendency of community responses related to the move of the National Capital and how to do public opinion sentiment analysis related to the move of the National Capital with Feature Selection Naive Bayes Algorithm and Support Vector Machine to get the highest accuracy value is the goal in this study. Sentiment analysis data will take from public opinion using Indonesian from Twitter social media tweets in a crawling manner. Search words used are #IbuKotaBaru and #PindahIbuKota. The stages of the research consisted of collecting data through social media Twitter, polarity, preprocessing consisting of the process of transform case, cleansing, tokenizing, filtering and stemming. The use of feature selection to increase the accuracy value will then enter the ratio that has been determined to be used by data testing and training. The next step is the comparison between the Support Vector Machine and Naive Bayes methods to determine which method is more accurate. In the data period above it was found 24.26% positive sentiment 75.74% negative sentiment related to the move of a new capital city. Accuracy results using Rapid Miner software, the best accuracy value of Naive Bayes with Feature Selection is at a ratio of 9:1 with an accuracy of 88.24% while the best accuracy results Support Vector Machine with Feature Selection is at a ratio of 5:5 with an accuracy of 78.77%.

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

scholarly journals COVID-19 conspiracy theories

2021 ◽  
Vol 24 (2) ◽  
pp. 270-275 ◽  
Author(s):  
Karen M. Douglas
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Intergroup Relations ◽  
Group Processes ◽  
Negative Consequences ◽  
Conspiracy Theories ◽  
Open Questions ◽  
Potential Impact

Conspiracy theories started to appear on social media immediately after the first news about COVID-19. Is the virus a hoax? Is it a bioweapon designed in a Chinese laboratory? These conspiracy theories typically have an intergroup flavour, blaming one group for having some involvement in either manufacturing the virus or controlling public opinion about it. In this article, I will discuss why people are attracted to conspiracy theories in general, and why conspiracy theories seem to have flourished during the pandemic. I will discuss what the consequences of these conspiracy theories are for individuals, groups, and societies. I will then discuss some potential strategies for addressing the negative consequences of conspiracy theories. Finally, I will consider some open questions for research regarding COVID-19 conspiracy theories, in particular focusing on the potential impact of these conspiracy theories for group processes and intergroup relations.

Profiling the Users of High Influence on Social Media in the Context of Public Events

2021 ◽  
Vol 32 (2) ◽  
pp. 36-49
Author(s):  
Lu An ◽  
Junyang Hu ◽  
Manting Xu ◽  
Gang Li ◽  
Chuanming Yu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Management ◽  
Emotional Support ◽  
Opinion Leader ◽  
Negative Effects ◽  
The Public ◽  
Public Events ◽  
Social Media Platforms ◽  
Influential Users

The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly influential users on social media is of great significance for the management of public opinion in the context of public events. In this study, the highly influential users of social media are divided into three types (i.e., topic initiator, opinion leader, and opinion reverser). A method of profiling highly influential users is proposed based on topic consistency and emotional support. The event of “Jiankui He Editing the Infants' Genes” was investigated. The three types of users were identified, and their opinion differences and dynamic evolution were revealed. The comprehensive profiles of highly influential users were constructed. The findings can help emergency management departments master the focus of attention and emotional attitudes of the key users and provide the method and data support for opinion management and decision-making of public events.

Rapid Perception of Public Opinion in Emergency Events through Social Media

2022 ◽  
Vol 23 (2) ◽  
Author(s):  
Yudi Chen ◽  
Yun Li ◽  
Zifu Wang ◽  
Alma Joanna Quintero ◽  
Chaowei Yang ◽  
...  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Events

scholarly journals TROLLING FOR ENGAGEMENT: AUSTRALIAN LEGACY NEWS OUTLETS SEEKING AUDIENCE INTERACTION METRICS ON FACEBOOK THROUGH DELIBERATELY DIVISIVE CONTENT

2019 ◽  
Vol 2019 ◽  
Author(s):  
Edward Hurcombe
Keyword(s):  
Social Media ◽  
Qualitative Analysis ◽  
Place Value ◽  
Media Attention ◽  
News Content ◽  
Audience Interaction ◽  
Media Logic ◽  
Negative Feelings

This paper empirically investigates how two prominent Australian legacy news outlets – ABC News and News.com.au – operate according to what I term a social media logic of “engagement”, a concept which builds upon van Dijck & Poell’s notion of a social media logic of “popularity”. By a logic of engagement, I mean the necessity to maximize social media attention and interaction metrics. Rather than just valuing “popularity”, platforms instead place value on content that maximizes a multitude of feelings, sentiments, and reactions. Without sufficient engagement, outlets dependent on platforms such as Facebook are threatened by invisibility in the newsfeed. I specifically focus on the operations of ABC News and News.com.au on Facebook from 21 March 2018 – 10 April 2018. Within this period, I collected all the posts from each page, which amounted to 44 posts in total. From these posts, I strategically selected six posts of varying levels of engagement for closer qualitative analysis, with an emphasis on language and imagery. My findings in this paper suggest that the drive for monetizable and algorithmically-valued audience metrics on Facebook can encourage divisive and provocative news content that arouses strong negative feelings and promotes conflict. Trolls are those that deceive other users of their intentions, and seek to sow discord for their own purposes. Thus, it is beneficial to think about a potentially emerging practice of news “trolling”, as it appears that news outlets are adopting faux-naïve, and deliberately incendiary, practices when pursuing engagement.

scholarly journals Beyond “fake news”: The role of analytic thinking in the detection of inaccuracy and partisan bias in news headlines

2019 ◽  
Author(s):  
Robert M Ross ◽  
David Gertler Rand ◽  
Gordon Pennycook
Keyword(s):  
Social Media ◽  
Fake News ◽  
Analytic Thinking ◽  
Total N ◽  
Partisan Bias ◽  
News Content ◽  
Political Bias ◽  
Political Partisanship ◽  
News Headlines

Why is misleading partisan content believed and shared? An influential account posits that political partisanship pervasively biases reasoning, such that engaging in analytic thinking exacerbates motivated reasoning and, in turn, the acceptance of hyperpartisan content. Alternatively, it may be that susceptibility to hyperpartisan misinformation is explained by a lack of reasoning. Across two studies using different subject pools (total N = 1977), we had participants assess true, false, and hyperpartisan headlines taken from social media. We found no evidence that analytic thinking was associated with increased polarization for either judgments about the accuracy of the headlines or willingness to share the news content on social media. Instead, analytic thinking was broadly associated with an increased capacity to discern between true headlines and either false or hyperpartisan headlines. These results suggest that reasoning typically helps people differentiate between low and high quality news content, rather than facilitating political bias.

scholarly journals The impact of credibility of influencers recommendations on social media on consumers behavior towards brands

2021 ◽  
Vol 54 (3-4) ◽  
pp. 181-196
Author(s):  
Piotr Kwiatek ◽  
Radoslav Baltezarević ◽  
Stavros Papakonstantinidis
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Virtual Environment ◽  
Word Of Mouth ◽  
Consumer Attitudes ◽  
Time Frame ◽  
Target Market ◽  
Online Environment ◽  
Purchasing Decisions ◽  
The Impact

Companies are becoming increasingly aware of the importance and opportunities provided by social media in order to communicate faster and more efficiently with their consumers. In order to convey the message about the value of their brands to their target market, organizations hire influential people who are considered to be the creators of public opinion in a virtual environment. Nowadays, social media are crowded with micro and macro influencers, or at least those who present themselves as such. Their main job is to represent and recommend brands to other users (their followers) and thus influence consumer attitudes about brands and possibly strengthen their purchasing decisions. Very often, influencers on social media are hired by companies to promote their brands for a fee. In order to have more control over their communication activities, companies provide them, in advance, with the content they want to be conveyed to consumers, but also the time frame when the message should be launched. In this way, organizations try to reduce the risk of turning electronic word-of-mouth (EWOM) communication into a negative one. In order for consumers to trust the recommendations of influencers on social media, these people need to have significant expertise in a certain area, charisma and respect from other users, so that their credibility affects the value of content and recommendations they place in the online environment. The aim of this paper is to present the attitudes of respondents who use social media websites about the impact of the credibility of influencers' recommendations on social media, and their opinion on whether and in what way their credibility influences consumer attitudes towards brands.

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