Beyond Ferguson

2021 ◽  
pp. 195-208
Author(s):  
Danielle K. Kilgo
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Movement ◽  
Newspaper Coverage ◽  
Police Violence ◽  
Social Media Networks ◽  
The Social ◽  
Narrative Patterns ◽  
Digital Newspaper ◽  
Over Time

After the death of Michael Brown in Ferguson, Missouri, mainstream newspaper coverage focused extensively on protesters actions and left little room for narratives that explore the demands, grievances, and agendas of the social movement to end police violence and save Black lives. Over time, coverage of Black Lives Matter protests remained problematic and publicly critiqued. This chapter uses a content analysis of newspaper coverage four years after the death of Michael Brown to reassess press coverage narratives that dominated the protests that followed the police killing of unarmed Stephon Clark in Sacramento, California. Digital newspaper coverage from national, large metropolitan and local papers was analyzed for six months after the March 20, 2018 shooting of Clark. Coverage was also tracked through public social media networks to look for narrative patterns in the most shared coverage.

Hyperreality of #BlackLivesMatter Movement on Social Media

2021 ◽  
Vol 37 (3) ◽  
pp. 288-303
Author(s):  
Ghozian Aulia Pradhana ◽  
◽  
Syaifa Tania ◽  
Keyword(s):  
Social Media ◽  
African American ◽  
Content Analysis ◽  
Social Networking ◽  
Social Movement ◽  
Social Networking Sites ◽  
The Other ◽  
The Social ◽  
True Meaning ◽  
Social Media Platforms

This study aims to reveal how hyperreality is reflected in using the #BlackLivesMatter hashtag on social media. The death of an African-American, George Floyd, that involved white police, has sparked outrage and demonstrations in many U.S. states. Issues pertaining to racism sparked in relation to the event, and many people protested demanding justice. The demand for justice then went into a wave of massive global protests both in offline and online realities—the #BlackLivesMatter hashtag was widely used on social media when protests were held. The #BlackLivesMatter hashtag even became a trending topic on several social media platforms, as if everyone was concerned about the issue and aiming for the same purpose. However, we might find several posts that neither reflected nor were related to the case. Some social media users put the hashtag even though their content substance was not related. This phenomenon then led to a condition of hyperreality in questioning reality from a simulation of reality. The method used in this study is content analysis which measures the sentiment of comments on Twitter and Instagram. The study found that social networking sites mobilised online movements even though they were not directly related to the #BlackLivesMatter movement. On the other hand, hashtag activism reduced the true meaning of the social movement. Therefore, the hyperreality in #BlackLivesMatter could not be seen any longer as a form of massive protests demanding justice and ending violence, but merely to gain more digital presence on social media. Keywords: Black lives matter, movement, social media, hyperreality, hashtag activism.

Health Communication and Social Media

2021 ◽  
pp. 70-83
Author(s):  
Seyida Erkek
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Sector ◽  
Health Communication ◽  
Analysis Method ◽  
Social Media Networks ◽  
Content Analysis Method ◽  
The Social ◽  
Public Sector Health

Social media networks have become platforms that the private and also public sector health corporations use for communucating with their patients and also finding solutions for their needs. To establish a healthy health communucation in between the patients and the health organisations and facilities and also to cover the needs of patients to reach true information is very important. Because of this, the performers using the social media must be examined. In this study, the authors examine and study the targets and the communucation strategies of medicine companies by using the social media and also thier medicine specifications to make a harmony in between these organisatipons and their products. In this study, the content analysis method is used to examine the Facebook page of Pfizer company in September and October 2020 posts. As a result of this Facebook page study of the company, the authors saw that 50% of the posts are acknowlagments, 31% about treatments of illnesses, and the rest (19%) are greetings.

Cyberbullying From a Research Viewpoint

2021 ◽  
pp. 182-200
Author(s):  
Josélia Mafalda Ribeiro da Fonseca ◽  
Maria Teresa Borges-Tiago
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Citation Analysis ◽  
Bibliometric Analysis ◽  
Social Phenomenon ◽  
Negative Effects ◽  
Research Gaps ◽  
Social Media Networks ◽  
The Social ◽  
Ubiquitous Environment

In less than two decades, social media has become a part of life for many people, increasing the positive and negative effects of social relationships. In a sense, the traditional offline behaviors moved into a ubiquitous environment, enhancing the social phenomenon of cyberbullying. Thus, it attracted much attention from different fields within academia. To understand how research has been conducted in the last 20 years and the topics addressed, this study applied a bibliometric analysis to academic literature from 2000 to 2020 related to cyberbullying in social media, using techniques such as citation analysis, co-citation analysis, and content analysis. The growing interest of the field is confirmed, and some research gaps are unveiled. Since this is one of the first studies to explore cyberbullying that occurs in social media networks, it is hoped that this chapter will stimulate further research on this topic reinforcing the gaps found.

Exploring the imprint of social media networks on neighborhood community through the lens of gentrification

2017 ◽  
Vol 45 (3) ◽  
pp. 470-488 ◽  
Author(s):  
Joseph Gibbons ◽  
Atsushi Nara ◽  
Bruce Appleyard
Keyword(s):  
Social Media ◽  
Urban Communities ◽  
Urban Neighborhoods ◽  
Social Connections ◽  
Washington Dc ◽  
Group Level ◽  
Time Analysis ◽  
Social Media Networks ◽  
The Social ◽  
Interaction Measure

Gentrification, the rise of affluent socioeconomic populations in economically depressed urban neighborhoods, has been accused of disrupting community in these neighborhoods. Social media networks meanwhile have been recognized not only to create new communities in neighborhoods, but are also associated with gentrification. What relation then does gentrification and social media networks have to urban communities? To explore this question, this study uses social media networks found on Twitter to identify communities in Washington, DC. With space-time analysis of 821,095 geo-tagged tweets generated by 77,528 users captured from 15 October 2015 to 18 July 2016, we create a location-based interaction measure of tweets which overlays the social networks of the comprising users based on their followers and followees. We identify gentrifying neighborhoods with the 2000 Census and the 2010–2014 American Community Survey at the block group level. We then compare the density of location-based interactions between gentrifying and nongentrifying neighborhoods. We find that gentrification is significantly related to these location-based interactions. This suggests that gentrification indeed is associated with some communities in neighborhoods, though questions remain as to who has access. Making novel use of big data, these results demonstrate the important role built environment has on social connections forged “online.”

Does KFC sell rat? Analysis of tweets in the wake of a rumor outbreak

2017 ◽  
Vol 69 (6) ◽  
pp. 660-673 ◽  
Author(s):  
Anjan Pal ◽  
Alton Y.K. Chua ◽  
Dion Hoe-Lian Goh
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Food Chain ◽  
Fast Food ◽  
Design Methodology ◽  
Social Ties ◽  
High Volume ◽  
Content Type ◽  
Personal Involvement ◽  
The Social

Purpose In the wake of a rumor outbreak, individuals exchange three types of messages: rumor messages, counter-rumor messages, and uncertainty-expressing messages. However, the properties of the three types of messages are relatively unknown particularly in the social media context. Hence, the purpose of this paper is to examine these three types of messages posted on social media in the wake of a rumor outbreak. Design/methodology/approach Data included tweets posted after the outbreak of a rumor that wrongly accused the fast food chain Kentucky Fried Chicken (KFC) for selling rats instead of chicken. Using a deductive approach, codes were derived via content analysis on the tweets. Volume and exposure of tweets were also examined. Findings Counter-rumor tweets (52 percent) outnumbered rumors tweets (32 percent) and uncertainty-expressing tweets (16 percent). Emotions and personal involvement were abundant in rumor tweets. Expressions of credence and references to URLs were high in counter-rumor tweets. Social ties were found widely in uncertainty-expressing tweets. The high volume and exposure of counter-rumor tweets compared with those of either rumor tweets or uncertainty-expressing tweets highlight the potential of counter-rumors to mitigate rumors. Originality/value This research ventures into a relatively unexplored territory by concurrently examining rumor messages, counter-rumor messages and uncertainty-expressing messages in the wake of a rumor outbreak. It reveals that counter-rumor messages have the potential to mitigate rumors on social media.

scholarly journals KOMUNIKASI MEDIA ONLINE PENGUSAHA MILENIAL DALAM MEMBANGUN PERSONAL BRANDING DI ERA DIGITAL

2019 ◽  
Vol 4 (1) ◽  
pp. 114
Author(s):  
Dewi Rachmawati ◽  
Lestari Nurhajati
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Internet Technology ◽  
Online Media ◽  
Media Communication ◽  
Digital Era ◽  
Generation Cohorts ◽  
The Social ◽  
Personal Branding ◽  
Age Range

ABSTRACT Scientists who use cohort generation (generation cohorts) to classify subjects by age group, strongly believe in differences in attitudes, behaviors and communication in each generation. Millennials in the age range of 23-39 (born 1980-1995) tend to be depicted as relying heavily on communication based on internet technology. This situation certainly causes significant communication changes, including when these millennials become entrepreneurs, inevitably they will rely on communication via online media. In 2018, several rows of Indonesian millennials entered the ranks of successful Asian entrepreneurs under the age of 30. This phenomenon certainly becomes interesting to study about how the use of online media by young entrepreneurs as a means of their communication with the public. This study aims to find out how the personal branding of millennial entrepreneurs is built with communication via online media. The personal branding study that is often used as a guideline is the Eight Laws of Personal Branding concept, which is a personal branding strategy that emphasizes the side; specialization, leadership, personality, distinctiveness, visibility, unity, persistence, and goodwill. This study uses the content analysis (content analysis) approach to 5 online media (Instagram, Facebook, Twitter, Youtube, LinkedIn and Website / blog) owned by 5 millennial entrepreneurs (Dian Pelangi, Fransisca Hadiwidjana, Talita Setyadi, Rorian Pratyaksa, and Stanislaus Tandelilin) within 1 year (1 January 2018 - 31 December 2018). The results of this study indicate that the effort to build personal branding on each of the online media owned, is only attached to the figure of Dian Pelangi, who is very active in using all lines of social media. While the other 4 subjects actually did not all actively utilize the social media / online media they had..Keywords:  online media communication, millennials, personal branding, millennial entrepreneurs, digital era.  ABSTRAK Ilmuwan yang menggunakan cohort generation (generasi kohort) untuk menggolongkan subyek berdasarkan kelompok umur, sangat mempercayai adanya perbedaan sikap, perilaku dan komunikasi pada tiap generasi. Generasi milenial dalam rentang usia 23-39 (lahir 1980-1995) cenderung digambarkan sangat mengandalkan komunikasi berbasis penggunaan teknologi internet. Situasi ini tentu menyebabkan perubahan komunikasi yang signifikan, termasuk ketika para milenial ini menjadi pengusaha, mau tidak mau mereka akan mengandalkan komunikasi via media online. Tahun 2018 lalu beberapa deretan pengusaha milenial Indonesia masuk dalam jajaran pengusaha sukses Asia di bawah usia 30 tahun. Fenomena ini tentu menjadi menarik untuk diteliti tentang bagaimana penggunaan media online para pengusaha muda ini sebagai sarana komunikasi mereka dengan publik. Penelitian ini bertujuan untuk mengetahui bagaimana personal branding para pengusaha milenial dibangun dengan komunikasi via media online. Kajian personal branding yang sering dijadikan pedoman adalah konsep Eight Laws of Personal Branding, yakni strategi personal branding yang menekankan pada sisi; spesialisasi, kepemimpinan, kepribadian, kekhasan, terlihat, Kesamaan antara yang terlihat dan tak terlihat, kegigihan dan itikad baik. Penelitian ini menggunakan pendekatan penelitian content analysis (analisis isi) atas 5 media online (Instagram, Facebook, Twitter, Youtube, LinkedIn dan Website/blog) yang dimiliki oleh 5 pengusaha milenial (Dian Pelangi, Fransisca Hadiwidjana, Talita Setyadi, Rorian Pratyaksa, dan Stanislaus Tandelilin) dalam kurun waktu 1 tahun (1 januari 2018 - 31 Desember 2018). Hasil dari penelitian ini menunjukkan bahwa upaya membangun personal branding pada masing-masing media online yang dimiliki, hanya melekat pada sosok Dian Pelangi, yang sangat aktif menggunakan semua lini media sosialnya. Sementara ke 4 subyek lainnya justru tidak semuanya aktif memanfaatkan media sosial/ media online yang dimilikinya..Kata Kunci: komunikasi media online, milenial, personal branding, pengusaha milenial, era digital.

scholarly journals Usage of Social Media by Leading Political Parties in General Election 2018 of Pakistan

2020 ◽  
Vol V (III) ◽  
pp. 32-43
Author(s):  
Ashraf Iqbal ◽  
Kishwer Perveen ◽  
Saima Waheed
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Political Parties ◽  
Social Networking ◽  
Political Party ◽  
Social Networking Sites ◽  
Dominant Party ◽  
The Social ◽  
Setting Theory ◽  
Social Media Tools

Social Networking sites are highly used for political proposes. In this study, the research tried to search the usage of social media by political parties during elections campaigns 2018 in Pakistan. The researcher applied the agenda-setting theory to link the social media posts of these political parties' pages and content analysis research technique for analyzing the variables. It was concluded from the that these social media are highly used for mobilizing voters where the users of these mediums not only see these posts but also like, comment and share for responding about what is uploaded on these social media pages by the representatives of political parties. It is concluded that from three trending political parties, PTI emerged as the most dominant party by using these social media tools, by uploading a maximum number of posts, by mobilizing voters to vote for a specific political party.

scholarly journals The Content Analysis of Social Media Shares in Turkish Related to COVID-19

2021 ◽  
Vol 11 (3) ◽  
pp. 113-137
Author(s):  
M. Fevzi Esen
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Information Source ◽  
Latent Semantic Indexing ◽  
Decision Makers ◽  
Semantic Indexing ◽  
Social Media Networks ◽  
Network Analyses ◽  
Media Platform ◽  
Short Time

A remarkable increase has currently been happening in social media platform content related to COVID-19. Users have created large volumes of content on various topics over a short time, interacting with people in real-time. This also has transformed social media into an indispensable information source for any crisis. This study aims to explore the information content on COVID-19 disseminated through social media and to discover prominent topics in shares on COVID-19. In this regard, we have retrieved 17,542 tweets shared in Turkish. A content analysis of social media shares has been carried out, with latent semantic indexing and network analyses being performed to detect the relationships and interactions among shares. As a result, the most shared topics have been concluded to be on yasak [lockdown], tedbir [precaution], karantina [quarantine], and vaka [case], with communication being frequently passed using this semantic string and information exchanges being faster within the network. In addition, shares related to hygiene, masks, and distancing were determined to have occurred less than shares related to precautions, rules, cases, and lockdowns. The number of likes and retweets for content with social propaganda such as #evdekal [stayathome], #evdehayatvar [lifeathome], and #birliktebaşaracağız [togetherwesucceed] were low and not found in a semantic string. This suggests social propaganda through social media to have had a limited impact on epidemic management. In conclusion, identifying the prominent issues in social media posts and the characteristics of social media networks will help decision-makers determine appropriate policies for controlling and preventing the pandemic’s spread.

OPINI PUBLIK TERHADAP PENERAPAN NEW NORMAL DI MEDIA SOSIAL TWITTER

2020 ◽  
Vol 11 (1) ◽  
pp. 19-26
Author(s):  
AWAD BIN MUHAMMAD ALKATIRI ◽  
ZHAFIRA NADIAH ◽  
ADINDA NADA S. NASUTION
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Opinion ◽  
Thematic Analysis ◽  
Research Method ◽  
Age Groups ◽  
Validity And Reliability ◽  
New Normal ◽  
Quantitative Content ◽  
The Social

Social media is popular with all ages, people in young and old age groups can access social media. Social media is a place for information and opinion exchange. Twitter is one of the social media that is actively used in Indonesia. The new normal phenomenon that is currently being applied is wanted to be further known by researchers by referring to the hashtag #newnormalindonesia on Twitter. Researchers want to find out how public opinion is formed based on the hashtag #newnormalindonesia on Twitter. This research uses the concept of public opinion which is categorized into positive, negative, and neutral. In the research method, researchers use quantitative content analysis, the analysis unit uses thematic analysis units with the operationalization of concepts using the concept of public opinion. Coding sheets are used as instruments in data collection techniques, then in testing the validity and reliability using inter-coder reliability. The results showed that the twitter posts with the #newnormalindonesia hashtag tendto be negative by not supporting the implementation of new normal.

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