scholarly journals WUJUD PERSUASI DAN RESPON KAUM MILENIAL DI MEDIA SOSIAL FACEBOOK PADA PILPRES 2019 (THE FORM OF PERSUASION AND MILENNIALS RESPOND IN FACEBOOK SOCIAL MEDIA IN PRESIDENTIAL ELECTION 2019)

2020 ◽  
Vol 10 (2) ◽  
pp. 117
Author(s):  
Indrawati Indrawati
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Data Analysis ◽  
Presidential Election ◽  
Qualitative Content Analysis ◽  
Data Checking ◽  
Existing Data

The Form of Persuasion and Milennials Respon in Facebook Social Media inPresidential Election 2019. This research aims to reveal how the persuasion andresponse of millennials on social media Facebook in the 2019 presidentialelection. This research uses methods of qualitative content analysis. The data theauthor takes is data on Facebook social media from February to April 2019. Formof data in the form of sentences that have a persuasion message used by millennialson social media Facebook in the presidential election 2019. The source of thisresearch data observations directly on social media Facebook which thenresearchers Screenshoot. Data analysis is done in several ways, namely: (1)Observation of the sentence upload on Facebook social media, (2) reading andunderstanding sentences that have a persuasion meaning, (3) grouping,identifying, and analyzing existing data, (4) Conclude the results of researchanalysis. Data analysis is done during and after the data is collected. This researchimplements triangulation and data checking to obtain the validity of data. Basedon the research, there are several form of persuasion in uploading sentences ofmillennials in facebook social media in presidential election 2019. Thatpersuasion form are: (1) persuasion form and millennials respond with strongarguments, (2) persuasion form and respond with neutral arguments, (3)persuasion form and millennials respond with weak arguments, (4) persuasionform and millennials respond with peripheral.Key words: persuasion, milenialls, facebook social media AbstrakWujud Persuasi dan Respon Kaum Milenial di Media Sosial Facebook padaPilpres 2019. Penelitian ini bertujuan mengungkapkan bagaimana wujud persuasidan respon kaum milenial di media sosial facebook pada pilpres 2019. Penelitianini menggunakan metode analisis isi kualitatif. Data yang penulis ambil adalahdata yang terdapat di media sosial facebook dari bulan Februari sampai denganApril 2019. Wujud data berupa kalimat yang memiliki pesan persuasi yang dipakaikaum milenial di media sosial facebook pada pilpres 2019. Sumber data penelitianini pengamatan langsung di media sosial facebook yang kemudian penelitiscreenshoot. Analisis data dilakukan dengan beberapa cara, yaitu: (1)pengamatan terhadap unggahan kalimat di media sosial facebook, (2) membacadan memahami kalimat yang memiliki makna persuasi, (3) mengelompokkan,mengidentifikasi, dan menganalisis data yang ada, (4) menyimpulkan hasilanalisis penelitian. Analisis data dilakukan selama dan setelah data terkumpul.Penelitian ini menerapkan triangulasi dan pengecekan data untuk memperolehkeabsahan data. Berdasarkan hasil penelitian, ditemukan beberapa wujudpersuasi dalam kalimat unggahan kaum mileniual di media sosial facebook padapilpres 2019. Wujud persuasi tersebut meliputi: (1) Wujud persuasi dan responkaum milenial dengan argumen kuat (strong argumens); (2) Wujud persuasi danrespon kaum milenial dengan argumen netral (neutral argumens);(3) Wujudpersuasi dan respon kaum milenial dengan argumen lemah (weak argumens); dan(4) wujud persuasi dan respon kaum milenial dengan argumen sampingan(peripheral).Kata-kata kunci: persuasi, kaum milenial, media sosial facebook

scholarly journals The Impact of “Manipulated News” on Student Attitudes and Perceptions and Their Participation in the Umbrella Movement in Hong Kong

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110197
Author(s):  
Chesca Ka Po Wong ◽  
Runping Zhu ◽  
Richard Krever ◽  
Alfred Siu Choi
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Hong Kong ◽  
Survey Research ◽  
Student Attitudes ◽  
Qualitative Content Analysis ◽  
Fake News ◽  
Attitudes And Perceptions ◽  
The Impact ◽  
Potential Use

While the impact of fake news on viewers, particularly marginalized media users, has been a cause of growing concern, there has been little attention paid to the phenomenon of deliberately “manipulated” news published on social media by mainstream news publishers. Using qualitative content analysis and quantitative survey research, this study showed that consciously biased animated news videos released in the midst of the Umbrella Movement protests in Hong Kong impacted on both the attitudes of students and their participation in the protests. The findings raise concerns over potential use of the format by media owners to promote their preferred ideologies.

scholarly journals DAKWAH MILENIAL ERA DIGITAL: ANALISIS LINGUISTIK KOGNITIF PADA LAGU BALASAN JARAN GOYANG

2019 ◽  
Vol 4 (2) ◽  
pp. 235
Author(s):  
Dwi Kurniasih
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Qualitative Content Analysis ◽  
Digital Era ◽  
Cognitive Linguistic ◽  
Cognitive Semantic ◽  
Analyze Data ◽  
Descriptive Qualitative

This study aims to deliver the message of representation for the milenial generation in the digital era. The method used in this research is descriptive qualitative, which describe the objects based on reality. Data from this research are the lyrics of Jaran Goyang song and The Reply Song of Jaran Goyang. The technique used to analyze data is qualitative content analysis. Results of this study indicate that the milenial generation utilizes Youtube social media accounts to carry out da'wa activities by changing the song Jaran Goyang which is titled The Reply Song of Jaran Goyang intos lyrics filled with da’wa messages. Results of this study indicate that the da'wa language in the songs analyzed uses cognitive-linguistic aspects in a cognitive semantic perspective that contains the meaning of da'wa, namely the invitation to perform night prayers, recites the Al-Qur’an, and avoid shirk.

How Twitter drives the global news agenda: Tweets from Brazil, Russia, India, China, the UK and US and online discourse about the 2016 US presidential election

2021 ◽  
pp. 174276652110399
Author(s):  
Jane O’Boyle ◽  
Carol J Pardun
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
News Media ◽  
Presidential Election ◽  
Online Discourse ◽  
Political Communications ◽  
The Us ◽  
Us Presidential Election ◽  
The Uk ◽  
India And China

A manual content analysis compares 6019 Twitter comments from six countries during the 2016 US presidential election. Twitter comments were positive about Trump and negative about Clinton in Russia, the US and also in India and China. In the UK and Brazil, Twitter comments were largely negative about both candidates. Twitter sources for Clinton comments were more frequently from journalists and news companies, and still more negative than positive in tone. Topics on Twitter varied from those in mainstream news media. This foundational study expands communications research on social media, as well as political communications and international distinctions.

Nature of Tweets in the 2015 Nigerian Presidential Elections

2015 ◽  
Vol 2 (2) ◽  
pp. 34-52 ◽  
Author(s):  
Nwachukwu Andrew Egbunike ◽  
Noel Ihebuzor ◽  
Ngozi Onyechi
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Presidential Election ◽  
Social Engagement ◽  
Presidential Elections ◽  
Hate Speech ◽  
Political Mobilization ◽  
Election Results

Social media is becoming increasingly important as a means for social engagement. In Nigeria, Twitter is employed to convey opinion and make commentary on matters ranging from football to politics. Tweets are also used to inform, advocate, recruit and even incite. Previous studies have shown that Twitter could be effective for political mobilization. However, there is dearth of research on how Twitter has been used as a purveyor of neutral and/or hate speech in the Nigerian context. This study examined the nature of tweets in the immediate aftermath of the 2015 presidential election in Nigeria. The authors employed content analysis of 250 purposively selected tweets from the #Igbo hashtag which trended between March 29 and 31, 2015. The tweets were then categorized into five explicit hate and one neutral tweet category respectively. Results revealed the dominance of three hate tweet types: derogatory, mocking and blaming. These findings were then discussed bearing in mind earlier theories on the functionality of tweets and voting patterns from an analysis of the election results.

scholarly journals Iterative Thematic Inquiry: A New Method for Analyzing Qualitative Data

2020 ◽  
Vol 19 ◽  
pp. 160940692095511
Author(s):  
David L. Morgan ◽  
Andreea Nica
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Data Analysis ◽  
Thematic Analysis ◽  
Theoretical Basis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
New Method ◽  
Data Collection And Analysis ◽  
Primary Procedure

Because themes play such a central role in the presentation of qualitative research results, we propose a new method, Iterative Thematic Inquiry (ITI), that is guided by the development of themes. We begin by describing how ITI uses pragmatism as a theoretical basis for linking beliefs, in the form of preconceptions, to actions, in the form of data collection and analysis. Next, we present the four basic phases that ITI relies on: assessing beliefs; building new beliefs through encounters with data; listing tentative themes; and, evaluating themes through coding. We also review several notable differences between ITI and existing methods for qualitative data analysis, such as thematic analysis, grounded theory, and qualitative content analysis. The use of ITI is then illustrated through its application in a study of exiters from fundamentalist religions. Overall, the two most notable features of ITI are that it begins the development of themes as early as possible, through an assessment of initial preconceptions, and that it relies on writing rather than coding, by using a continual revision of tentative results as the primary procedure for generating a final set of themes.

scholarly journals Ethical misconduct by registered physiotherapists in South Africa (2007–2013): A mixed methods approach

2015 ◽  
Vol 71 (1) ◽  
Author(s):  
Willem A. Hoffmann ◽  
Nico Nortjé
Keyword(s):  
South Africa ◽  
Content Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Qualitative Content Analysis ◽  
Epidemiological Data ◽  
Unethical Conduct ◽  
Mixed Methods Approach ◽  
Ethical Misconduct ◽  
Patient Consent

Background: The role of ethics in a medical context is to protect the interests of patients. Thus,it is critically important to understand the guilty verdicts related to professional standard breaches and ethics misconduct of physiotherapists.Aim: To analyse the case content and penalties of all guilty verdicts related to ethics misconduct against registered physiotherapists in South Africa.Methods: A mixed methods approach was followed consisting of epidemiological data analysis and qualitative content analysis. The data documents were formal annual lists (2007–2013) of guilty verdicts related to ethical misconduct. Quantitative data analysis focused on annual frequencies of guilty verdicts, transgression categories and the imposed penalties. Qualitative data analysis focused on content analysis of the case content for each guilty verdict.Results: Relatively few physiotherapists (0.05%) are annually found guilty of ethical misconduct. The two most frequent penalties were fines of R5000.00 and fines of R8000.00–R10 000.00. The majority of transgressions involved fraudulent conduct (70.3%), followed by performance of procedures without patient consent (10.8%). Fraudulent conduct involved issuing misleading, inaccurate or false medical statements, and false or inaccurate medical aid scheme claims.Conclusion: Unethical conduct by physiotherapists in South Africa occurs rarely. The majority of penalties imposed on sanctioned physiotherapists were monetary penalties.

scholarly journals Degrees of Freedom: Exploring Agency, Narratives, and Technological Affordances in the #TakeAKnee Controversy

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511982612 ◽  
Author(s):  
Judith E. Rosenbaum
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Degrees Of Freedom ◽  
Qualitative Content Analysis ◽  
Structuration Theory ◽  
The Social ◽  
American National Identity ◽  
Social Media Platforms ◽  
Media Narratives ◽  
Technological Affordances

This study extends current research into social media platforms as counterpublic spaces by examining how the social media narratives produced by the #TakeAKnee controversy negotiate technological affordances and existing discourses surrounding American national identity. Giddens’ Structuration Theory is used to explore the nature of user agency on social media platforms and the extent to which this agency is constrained or enabled by the interplay between the systems and structures that guide social media use. Exploratory qualitative content analysis was used to analyze and compare tweets and Instagram posts using the #TakeAKnee hashtag shared in September 2017. Results showed that narratives are dominated by four themes, freedom, unity, equality and justice, and respect and honor. Users actively employ technological affordances to create highly personalized meanings, affirming that agency operates at the intersection of reflexivity and self-efficacy.

scholarly journals The battle to end fake news: A qualitative content analysis of Facebook announcements on how it combats disinformation

2019 ◽  
Vol 82 (1) ◽  
pp. 60-81 ◽  
Author(s):  
Petros Iosifidis ◽  
Nicholas Nicoli
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Culture Media ◽  
Qualitative Content Analysis ◽  
Digital Culture ◽  
Fake News ◽  
Digital Democracy ◽  
Descriptive Account ◽  
The World ◽  
Social Media Platforms

The recent spread of online disinformation has been profound and has played a central role in the growth of populist sentiments around the world. Facilitating its progression has been politically and economically motivated culprits who have ostensibly taken advantage of the digital freedoms available to them. At the heart of these freedoms lie social media organisations that only a few years earlier techno-optimists were identifying as catalysts of an enhanced digital democracy. In order to curtail the erosion of information, policy reform will no doubt be essential. The UK's Department of Digital, Culture, Media and Sport Disinformation and ‘fake news’ Report and Cairncross Review, and the European Commission's Report on Disinformation are three recent examples seeking to investigate how precisely such reform policy might be implemented. Just as important is how social media organisations take on more responsibility and apply self-regulating mechanisms that stifle disinformation across their platforms (something the aforementioned reports identify). Doing so will go a long way in restoring legitimacy in these significant institutions. Facebook (which includes Instagram and Whatsapp), is the largest social media organisation in the world and must primarily bear the burden of this responsibility. The purpose of this article is to offer a descriptive account of Facebook's public announcements regarding how it tackles disinformation and fake news. Based on a qualitative content analysis covering the period November 16th 2016–March 4th 2019, this article will set out some groundwork on how to hold social media platforms more accountable for how they handle disinformation.

scholarly journals Family Achievements in the Battle with Schizophrenia: :Life Experiences in a Qualitative Content Analysis Study in IRAN

2020 ◽  
Author(s):  
fatemeh darban ◽  
Roghayeh Mehdipour_Rabori ◽  
Jamileh Farokhzadian ◽  
Esmat Nouhi ◽  
Sakineh Sabzevari
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Personality Traits ◽  
Qualitative Content Analysis ◽  
Family Members ◽  
Psychiatric Hospitals ◽  
Analysis Data ◽  
Family Ties ◽  
Insight Into ◽  
Taking Care

Abstract Introduction: The challenges of living with and taking care of a patient with schizophrenia can lead to positive changes depending on the experiences and reactions of the families. Such changes may directly affect the family performance and the patient's recovery stage. Therefore, the aim of this study was to explain the positive experiences reported by families of patients with schizophrenia.Materials and methods: In this qualitative study of content analysis, data were collected using semi-structured and in-depth interviews with 15 family members of patients with schizophrenia who referred to one of the psychiatric hospitals in Zahedan City, Iran. Targeted sampling method was applied and data analysis was conducted using contractual content analysis proposed by Graneheim and Lundman.Results: Data analysis resulted in a theme entitled 'family achievements in the battle with schizophrenia'. This theme included four main categories of: Developing positive personality traits in family members, Strengthening family ties, Developing insight into life, and Social mobility.Conclusion: The findings provided evidences that the experience of taking care of patients with schizophrenia led to positive consequences for the families.Highlights- Caring for a patient with schizophrenia promotes personality traits in caregivers- Participating in patient care strengthens family ties- Living with schizophrenia patients developed their insight into life.- Family members of a schizophrenic patient try to reach their previous social status

scholarly journals Developing a Vaccine Informatics to Identify Message Frames Used in Vaccine Debates on Social Media: Combining Automatic Tweet Classification and Clustering Machine-Learning Algorithms with Qualitative Content Analysis (Preprint)

2020 ◽  
Author(s):  
Young Argyris ◽  
Kafui Monu ◽  
Pang-Ning Tan ◽  
Colton Aarts ◽  
Fan Jiang ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Clustering Algorithm ◽  
Qualitative Content Analysis ◽  
Message Framing ◽  
Machine Learning Algorithms ◽  
Vaccine Uptake ◽  
Uptake Rates ◽  
Message Frames ◽  
Tweet Classification

BACKGROUND Exposure to anti-vaccine content on social media has been associated with delays and refusals of vaccinations, while pro-vaccine campaigns devised to disseminate the preventive benefits of vaccines have not succeeded in increasing vaccine uptake rates. Reasons remain unknown why anti-vaccine messaging hampers uptake while pro-vaccine campaigns do not improve it. OBJECTIVE We aim to identify reasons for the disparate effectiveness of anti- versus pro-vaccine social media content on vaccine delivery rates. In so doing, we apply the perspectives of message framing used in interpersonal health communication to explain why individuals refuse to adopt preventive behaviors. Specifically, we compare (1) the diversity, coherence, and distinctiveness of topics discussed by pro- and anti-vaccine communities and (2) message frames used to portray vaccines as a public health accomplishment or harmful agents. METHODS We developed a multimethod that combines the collection of a large amount of data from Twitter (~40,000 tweets), an automatic tweet classification algorithm, the K-means clustering algorithm, and a qualitative content analysis. RESULTS Our results show a larger number of topics (20 versus 17 clusters), greater coherence of topics (0.99 vs. 0.97) and distinctiveness of topics (1.22 vs. 1.31) among anti-vaccinists in comparison to pro-vaccinists. In addition, while anti-vaccinists use all four message frames known to make narratives persuasive and influential, pro-vaccinists neglect the problem statement. CONCLUSIONS Based on our results, we attribute the diversity, coherence, and distinctiveness of topics discussed among anti-vaccinists to their higher engagement, and we ascribe the influence of vaccine debate on uptake rates to the comprehensiveness of the message frames. These results show the urgency of developing value propositions for vaccines to counteract the negative impact of anti-vaccine content on the uptake rates. CLINICALTRIAL This study was determined to be a non-human subject study by Michigan State University’s Institutional Review Board (#STUDY00004514).

Sign in / Sign up

Export Citation Format

Share Document