scholarly journals Indonesian Youth on Social Media: Study on Content Analysis

2018 ◽  
Author(s):  
Daniel Susilo ◽  
Teguh Dwi Putranto
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Media Study

scholarly journals Storytelling of Indonesia Tourism Marketing in Social Media: Study of Borobudur and Danau Toba Instagram Account

2021 ◽  
Vol 13 (1) ◽  
pp. 107
Author(s):  
Monika Sri Yuliarti ◽  
Andre N. Rahmanto ◽  
Anjang Priliantini ◽  
Albert Muhammad Isrun Naini ◽  
Mahfud Anshori ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Descriptive Study ◽  
Research Data ◽  
Tourism Marketing ◽  
Media Study ◽  
Tourist Destinations ◽  
Central Java ◽  
Tourism Destinations ◽  
Quantitative Descriptive

The effort to improve the number of tourist visits and foreign exchange have been happening in Indonesia. However, in its development, there are several obstacles, one of which is related to promotion. Therefore, it is necessary to implement the concept of story-driven marketing as an effort to promote tourism through stories and impressions that are disseminated through social media, by applying storytelling. This study aims to explore storytelling in two tourist destinations that are part of 5 super priority tourism destinations, Borobudur in Central Java and Danau Toba in South Sumatra, by looking at the Instagram accounts of the two tourist destinations, which are @borobudurpark and @danau_tobasamosir. This quantitative descriptive study used content analysis methods to study 3 elements of tourism in accordance with the 2009 Tourism Law (attractions, amenities, and accessibility), and also 5 elements of storytelling (setting, character, plot, conflict, and message). The research data was collected through document study by studying the Instagram account @borobudurpark and @danau_tobasamosir. The findings in this study are that the storytelling strategy is not yet optimal as a story-driven marketing strategy in tourism, because not all elements of storytelling appear in the posts of the research object's Instagram account. Most of the posts on the Instagram account of the Borobudur and Lake Toba tourist destinations only refer to the elements of the message and pay less attention to other elements of storytelling. The implication of this research is the need for various parties involved in tourism development to optimize social media as a means of promotion and improve storytelling strategies to attract tourists. Target jumlah kunjungan wisatawan dan penerimaan devisa Indonesia terus diupayakan peningkatannya dari tahun ke tahun. Namun dalam pengembangannya, ada beberapa kendala yang dihadapi, salah satunya terkait promosi. Karenanya, dirasa perlu mengimplementasi konsep story-driven marketing sebagai upaya promosi wisata melalui cerita dan kesan yang disebarluaskan melalui media sosial, yaitu dengan mengaplikasikan storytelling. Penelitian ini bertujuan untuk mengeksplorasi storytelling dalam dua destinasi wisata yang masuk dalam kategori 5 destinasi super prioritas pariwisata, yaitu Borobudur di Jawa Tengah dan Danau Toba di Sumatera Selatan, dengan melihat akun Instagram kedua destinasi wisata tersebut, yakni. Penelitian deskriptif kuantitatif ini menggunakan metode analisis isi untuk mengkaji 3 unsur pariwisata sesuai UU tentang Kepariwisataan tahun 2009 (atraksi, amenitas, dan aksesibilitas) serta 5 unsur storytelling (setting, karakter, plot, konflik, dan pesan). Data penelitian dikumpulkan melalui studi dokumen dengan mempelajari akun Instagram @borobudurpark dan @danau_tobasamosir. Temuan dalam penelitian ini adalah belum optimalnya strategi storytelling sebagai strategi story-driven marketing dalam pariwisata, karena tidak semua unsur storytelling muncul dalam unggahan pada akun Instagram objek penelitian. Sebagian besar unggahan pada akun Instagram destinasi wisata Borobudur dan Danau Toba tersebut hanya merujuk pada unsur pesannya saja dan kurang memperhatikan unsur storytelling yang lain. Implikasi dari penelitian ini adalah perlunya berbagai pihak terkait dalam perkembangan pariwisata untuk mengoptimalkan media sosial sebagai sarana promosi, dan meningkatkan strategi storytelling untuk menarik wisatawan.

scholarly journals Evolving public behavior and attitudes towards COVID-19 and face masks in Taiwan: A social media study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251845
Author(s):  
Chih-Yu Chin ◽  
Chang-Pan Liu ◽  
Cheng-Lung Wang
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
News Media ◽  
The Public ◽  
Media Study ◽  
News Reports ◽  
Initial Stage ◽  
Relevant Variables ◽  
Public Behavior ◽  
The Government

Facing the COVID-19 pandemic, Taiwan demonstrated resilience at the initial stage of epidemic prevention, and effectively slowed down its spread. This study aims to document public epidemic awareness of COVID-19 in Taiwan through collecting social media- and Internet-based data, and provide valuable experience of Taiwan’s response to COVID-19, involving citizens, news media, and the government, to aid the public in overcoming COVID-19, or infectious diseases that may emerge in the future. The volume of Google searches related to COVID-19 and face masks was regarded as an indicator of public epidemic awareness in the study. A time-series analysis was used to explore the relationships among public epidemic awareness and other COVID-19 relevant variables, which were collected based on big data analysis. Additionally, the content analysis was adopted to analyze the transmission of different types of fear information related to COVID-19 and their effects on the public. Our results indicate that public epidemic awareness was significantly correlated with the number of confirmed cases in Taiwan and the number of news reports on COVID-19 (correlation coefficient: .33–.56). Additionally, the findings from the content analysis suggested that the fear of the loss of control best explains why panic behavior occurs among the public. When confronting the highly infectious COVID-19, public epidemic awareness is vital. While fear is an inevitable result when an emerging infectious disease occurs, the government can convert resistance into assistance by understanding why fear arises and which fear factors cause excessive public panic. Moreover, in the digitalization era, online and social media activities could reflect public epidemic awareness that can e harnessed for epidemic control.

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

Comparing Representation of Depression on Reddit and Twitter Social Media Platforms (Preprint)

2020 ◽  
Author(s):  
Ethan Kaji ◽  
Maggie Bushman
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Content Analysis ◽  
Relative Frequency ◽  
Social Activity ◽  
Social Media Platforms ◽  
Dsm Iv ◽  
Twitter Users

BACKGROUND Adolescents with depression often turn to social media to express their feelings, for support, and for educational purposes. Little is known about how Reddit, a forum-based platform, compares to Twitter, a newsfeed platform, when it comes to content surrounding depression. OBJECTIVE The purpose of this study is to identify differences between Reddit and Twitter concerning how depression is discussed and represented online. METHODS A content analysis of Reddit posts and Twitter posts, using r/depression and #depression, identified signs of depression using the DSM-IV criteria. Other youth-related topics, including School, Family, and Social Activity, and the presence of medical or promotional content were also coded for. Relative frequency of each code was then compared between platforms as well as the average DSM-IV score for each platform. RESULTS A total of 102 posts were included in this study, with 53 Reddit posts and 49 Twitter posts. Findings suggest that Reddit has more content with signs of depression with 92% than Twitter with 24%. 28.3% of Reddit posts included medical content compared to Twitter with 18.4%. 53.1% of Twitter posts had promotional content while Reddit posts didn’t contain promotional content. CONCLUSIONS Users with depression seem more willing to discuss their mental health on the subreddit r/depression than on Twitter. Twitter users also use #depression with a wider variety of topics, not all of which actually involve a case of depression.

Twitter Users’ Displays of Affect in the Global Warming Debate

2021 ◽  
pp. 004728162110078
Author(s):  
Shanna Cameron ◽  
Alexandra Russell ◽  
Luke Brake ◽  
Katherine Fredlund ◽  
Angela Morris
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Global Warming ◽  
Content Analysis ◽  
Technical Communication ◽  
Research Team ◽  
Future Research ◽  
Climate Change Research ◽  
Quantitative Content ◽  
Twitter Users

This article engages with recent discussions in the field of technical communication that call for climate change research that moves beyond the believer/denier dichotomy. For this study, our research team coded 900 tweets about climate change and global warming for different emotions in order to understand how Twitter users rely on affect rhetorically. Our findings use quantitative content analysis to challenge current assumptions about writing and affect on social media, and our results indicate a number of arenas for future research on affect, global warming, and rhetoric.

scholarly journals Examining Perceived and Projected Destination Image: A Social Media Content Analysis

2021 ◽  
Vol 13 (6) ◽  
pp. 3354
Author(s):  
Wei Sun ◽  
Shoulian Tang ◽  
Fang Liu
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Destination Image ◽  
Media Content ◽  
Media Content Analysis ◽  
Poor Understanding ◽  
Practical Implications

Destination image has been extensively studied in tourism and marketing, but the questions surrounding the discrepancy between the projected (perceptions from the National Tourism Organizations) and perceived destination image (perceptions from tourists) as well as how the discrepancy may influence sustainable experience remain unclear. Poor understanding of the discrepancy may cause tourist confusion and misuse of resources. The aim of this study is to empirically investigate if the perceived (by tourists) and projected (by NTOs) destination image are significantly different in both cognitive and affective aspects. Through a comprehensive social media content analysis of the NTO-generated and tourist-generated-contents (TGC), the current study identifies numerous gaps between the projected and perceived destination image, which offers some important theoretical and practical implications on destination management and marketing.

scholarly journals “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020

2021 ◽  
Vol 18 (8) ◽  
pp. 3943
Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy
Keyword(s):  
Health Care ◽  
Social Media ◽  
Content Analysis ◽  
Well Being ◽  
Profound Impact ◽  
Time Period ◽  
Twitter Analysis ◽  
The Uk ◽  
Media Narratives ◽  
Second Wave

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.

scholarly journals EXPRESS: “Get a £10 Free Bet Every Week!” – Gambling Advertising on Twitter: Volume, Content, Followers, Engagement and Regulatory Compliance

2021 ◽  
pp. 074391562199967
Author(s):  
Raffaello Rossi ◽  
Agnes Nairn ◽  
Josh Smith ◽  
Christopher Inskip
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Volume Content ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Regulatory Compliance ◽  
The Internet ◽  
Policy Recommendations ◽  
Policy Makers

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely hard to investigate using conventional techniques. In this paper the authors present three UK Twitter gambling advertising studies using both Big Data analytics and manual content analysis to explore the volume and content of gambling adverts, the age and engagement of followers, and compliance with UK advertising regulations. They analyse 890k organic adverts from 417 accounts along with data on 620k followers and 457k engagements (replies and retweets). They find that around 41,000 UK children follow Twitter gambling accounts, and that two-thirds of gambling advertising Tweets fail to fully comply with regulations. Adverts for eSports gambling are markedly different from those for traditional gambling (e.g. on soccer, casinos and lotteries) and appear to have strong appeal for children, with 28% of engagements with eSports gambling ads from under 16s. The authors make six policy recommendations: spotlight eSports gambling advertising; create new social-media-specific regulations; revise regulation on content appealing to children; use technology to block under-18s from seeing gambling ads; require ad-labelling of organic gambling Tweets; and deploy better enforcement.

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