scholarly journals Disease Detection or Public Opinion Reflection? Content Analysis of Tweets, Other Social Media, and Online Newspapers During the Measles Outbreak in the Netherlands in 2013

2015 ◽  
Vol 17 (5) ◽  
pp. e128 ◽  
Author(s):  
Liesbeth Mollema ◽  
Irene Anhai Harmsen ◽  
Emma Broekhuizen ◽  
Rutger Clijnk ◽  
Hester De Melker ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Opinion ◽  
The Netherlands ◽  
Disease Detection ◽  
Online Newspapers ◽  
Measles Outbreak

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.

Automating power: Social bot interference in global politics

First Monday ◽  
2016 ◽  
Author(s):  
Samuel C. Woolley
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Opinion ◽  
Organizational Communication ◽  
Global Politics ◽  
Political Actors ◽  
Political Crises ◽  
Software Programs ◽  
Automated Software

Over the last several years political actors worldwide have begun harnessing the digital power of social bots — software programs designed to mimic human social media users on platforms like Facebook, Twitter, and Reddit. Increasingly, politicians, militaries, and government-contracted firms use these automated actors in online attempts to manipulate public opinion and disrupt organizational communication. Politicized social bots — here ‘political bots’ — are used to massively boost politicians’ follower levels on social media sites in attempts to generate false impressions of popularity. They are programmed to actively and automatically flood news streams with spam during political crises, elections, and conflicts in order to interrupt the efforts of activists and political dissidents who publicize and organize online. They are used by regimes to send out sophisticated computational propaganda. This paper conducts a content analysis of available media articles on political bots in order to build an event dataset of global political bot deployment that codes for usage, capability, and history. This information is then analyzed, generating a global outline of this phenomenon. This outline seeks to explain the variety of political bot-oriented strategies and presents details crucial to building understandings of these automated software actors in the humanities, social and computer sciences.

scholarly journals Communicating About COVID-19 Crisis: Content Analysis of Image Repair Strategy by The Malaysian Government and Its Association With Public Opinion on Social Media (Preprint)

2021 ◽  
Author(s):  
Nasaai Masngut ◽  
Emma Mohamad
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Opinion ◽  
Image Repair ◽  
Significant Positive Association ◽  
Image Repair Theory ◽  
The Media ◽  
The Government ◽  
Malaysian Government ◽  
Image Repair Strategies

BACKGROUND Good leadership image in times of health emergency is paramount to ensure public’s confidence towards government’s ability to manage a crisis. The COVID-19 pandemic has posed an unprecedented challenge for governments worldwide to manage and communicate about the pandemic effectively, while maintaining public trust. OBJECTIVE The aim of this study is to identify types of image repair strategies utilized by the Malaysian government in their communication about COVID-19. The study then analyzes public opinion towards these communication on social media. METHODS Content analysis was employed to analyze 120 media statements and 382 comments retrieved from Facebook page of two mainstream newspapers, Berita Harian and The Star. These samples were collected within a span of 6 weeks prior and during the implementation of Movement Control Order by the Malaysian Government. The media statements were analyzed according to Benoit’s Image Repair Theory to categorize strategies employed in government communication. Public opinion responses were measured using modified lexicon-based VADER sentiment analysis to categorize positive, negative and neutral statements. RESULTS The Malaysian government employed all 5 strategies of the Image Repair Theory in their communication in both newspapers. The strategy most utilized was the reduce offensiveness strategy (62.5%). This is followed by corrective action strategy (25.0%), evading responsibilities (8.3%), denial (3.3%) and mortification (0.8%). This study also found multiple sub-strategies in government media statements including denial, shifting blame, provocation, defeasibility, accident, good intention, bolstering, minimization, differentiation, transcendence, attacking accuser, resolve problem, prevent recurrence, admit wrongdoing and apologize. This study also found that 64.7% of public opinion were positive towards media statements made by the Malaysian government. This study also revealed a significant positive association between Image Repair Strategies utilized by the Malaysian government and public opinion. CONCLUSIONS Communication in the media may assist the government to foster positive support from the public. Suitable image repair strategies could garner positive public responses and help build trust in times of crisis.

Social media as public opinion: How journalists use social media to represent public opinion

Journalism ◽  
2019 ◽  
Vol 20 (8) ◽  
pp. 1070-1086 ◽  
Author(s):  
Shannon C McGregor
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Public Opinion ◽  
The Public ◽  
News Stories ◽  
Media Companies ◽  
Socially Constructed ◽  
The Press ◽  
Use Of Social Media ◽  
Shed Light

Public opinion, as necessary a concept it is to the underpinnings of democracy, is a socially constructed representation of the public that is forged by the methods and data from which it is derived, as well as how it is understood by those tasked with evaluating and utilizing it. I examine how social media manifests as public opinion in the news and how these practices shape journalistic routines. I draw from a content analysis of news stories about the 2016 US election, as well as interviews with journalists, to shed light on evolving practices that inform the use of social media to represent public opinion. I find that despite social media users not reflecting the electorate, the press reported online sentiments and trends as a form of public opinion that services the horserace narrative and complements survey polling and vox populi quotes. These practices are woven into professional routines – journalists looked to social media to reflect public opinion, especially in the wake of media events like debates. Journalists worried about an overreliance on social media to inform coverage, especially Dataminr alerts and journalists’ own highly curated Twitter feeds. Hybrid flows of information between journalists, campaigns, and social media companies inform conceptions of public opinion.

scholarly journals Public Perceptions Regarding Use of Virtual Reality in Health Care: A Social Media Content Analysis Using Facebook (Preprint)

2017 ◽  
Author(s):  
Michelle Sophie Keller ◽  
Hannah J Park ◽  
Maria Elena Cunningham ◽  
Joshua Eleazar Fouladian ◽  
Michelle Chen ◽  
...  
Keyword(s):  
Health Care ◽  
Social Media ◽  
Virtual Reality ◽  
Content Analysis ◽  
Public Opinion ◽  
Patient Care ◽  
Stress Reduction ◽  
Media Content Analysis ◽  
Scientific Software ◽  
Wide Range

BACKGROUND Virtual reality (VR) technology provides an immersive environment that enables users to have modified experiences of reality. VR is increasingly used to manage patients with pain, disability, obesity, neurologic dysfunction, anxiety, and depression. However, public opinion regarding the use of VR in health care has not been explored. Understanding public opinion of VR is critical to ensuring effective implementation of this emerging technology. OBJECTIVE This study aimed to examine public opinion about health care VR using social listening, a method that allows for the exploration of unfiltered views of topics discussed on social media and online forums. METHODS In March 2016, NBC News produced a video depicting the use of VR for patient care. The video was repackaged by NowThis, a social media news website, and distributed on Facebook by Upworthy, a news aggregator, yielding 4.3 million views and 2401 comments. We used Microsoft Excel Power Query and ATLAS.ti software (version 7.5, Scientific Software Development) to analyze the comments using content analysis and categorized the comments around first-, second-, and third-order concepts. We determined self-identified gender from the user’s Facebook page and performed sentiment analysis of the language to analyze whether the perception of VR differed by gender using a Pearson’s chi-square test. RESULTS Out of the 1614 analyzable comments, 1021 (63.26%) were attributed to female Facebook users, 572 (35.44%) to male users, and 21 (1.30%) to users of unknown gender. There were 1197 comments coded as expressing a positive perception about VR (74.16%), 251 coded as expressing a negative perception and/or concern (15.56%), and 560 coded as neutral (34.70%). Informants identified 20 use cases for VR in health care, including the use of VR for pain and stress reduction; bed-bound individuals; women during labor; and patients undergoing chemotherapy, dialysis, radiation, or imaging procedures. Negative comments expressed concerns about radiation, infection risk, motion sickness, and the ubiquity of and overall dependence on technology. There was a statistically significant association between the language valence of the Facebook post and the gender of the Facebook user; men were more likely to post negative perceptions about the use of VR for health care, whereas women were more likely to post positive perceptions (P<.001). CONCLUSIONS Most informants expressed positive perceptions about the use of VR in a wide range of health care settings. However, many expressed concerns that should be acknowledged and addressed as health care VR continues to evolve. Our results provide guidance in determining where further research on the use of VR in patient care is needed, and offer a formal opportunity for public opinion to shape the VR research agenda.

scholarly journals Constructing Discourses on (Un)truthfulness: Attributions of Reality, Misinformation, and Disinformation by Politicians in a Comparative Social Media Setting

2020 ◽  
pp. 009365022098276
Author(s):  
Michael Hameleers ◽  
Sophie Minihold
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
The Netherlands ◽  
Digital Communication ◽  
Political Information ◽  
Discursive Construction ◽  
Right Wing ◽  
Issue Ownership ◽  
Analysis Study ◽  
Automated Content Analysis

In the setting of increasingly more fragmented digital communication settings, the accuracy and honesty of (political) information has become subject of fierce debates and partisan attacks. Hence, the challenge of mis- and disinformation not only pertains to the truthfulness of information itself, but also to the discursive construction of supporting information as truthful and dissonant information as untrue or deliberately false. This paper inductively analyzes discourses of (un)truthfulness (Study 1, N = 1,777) and uses an Automated Content Analysis (Study 2, N = 56,666) to assess how reality, mis-, and disinformation are constructed by politicians in Austria, Germany, and the Netherlands. The findings point to an affinity between populism and disinformation: Right-wing populist politicians take issue ownership in discrediting established knowledge and attempt to create momentum for alternative realities that resonate with populist worldviews. Such discourses of (un)truthfulness may have an important impact on defining reality for voters.

scholarly journals The Populism of Online Communities: Constructing the Boundary Between “Blameless” People and “Culpable” Others

2019 ◽  
Vol 12 (1) ◽  
pp. 147-165 ◽  
Author(s):  
Michael Hameleers
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
The Netherlands ◽  
Online Communities ◽  
Qualitative Content Analysis ◽  
Social Network Sites ◽  
Opportunity Structure ◽  
Marginalized Groups ◽  
Ordinary Citizens

Abstract Populism has become prevalent all across the globe. To date, however, we know too little about the ways in which populist discourse is constructed by citizens on social media. To advance the field, this study draws on a qualitative content analysis of Facebook posts by ordinary citizens in the Netherlands. The results indicate that Facebook offers a discursive opportunity structure for Dutch citizens to vent their populist discontent and to interact with like-minded others. Online populist discourse on Facebook is hostile and uncivil, predominately targeted at the elites and marginalized groups in society. By providing insights into how ordinary citizens construct the boundary between “us” and “them,” this article enhances our understanding of the construction of citizens’ populist discourse on social network sites (SNSs), and how these expressions contradict the principles of democratic communication.

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