scholarly journals Micro-celebrity participation and risk communication in Indonesia

2020 ◽  
Vol 26 (2) ◽  
pp. 53-71
Author(s):  
Lidwina Mutia Sadasri

Information dissemination in the media, specifically social media, is one of the critical channels of information related to the COVID-19 outbreak sought by the public. The information presented has been related to accurate and reliable situation reports and false information in various forms, not only text-based but also audio and visual. The chaos of data, coupled with a central response that seemed unprepared, shaped the Indonesian community’s perceptions of the COVID-19 outbreak. This fact related to the massive number of internet users in Indonesia is one aspect of the government’s decision, in this case BNPB (Badan Nasional Penanggulangan Bencana; officially National Disaster Management Authority), to engage strong social media influencers. The government collaborated with some influencers to enable public engagement through online social media platforms in the context of COVID-19—two of them being @dr.tirta and @rachelvennya. The platforms also gained more visibility after being appointed COVID-19 influencers. They updated information about COVID-19 on their social media accounts with picture posts and Instagram stories, either individually or in collaboration with others. This study aims to analyse the practice of the Indonesian government’s agency using micro-celebrity to deploy a risk communication frame and the delivery of the message by a celebrated person.

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256762
Author(s):  
Jialun Aaron Jiang ◽  
Morgan Klaus Scheuerman ◽  
Casey Fiesler ◽  
Jed R. Brubaker

Online social media platforms constantly struggle with harmful content such as misinformation and violence, but how to effectively moderate and prioritize such content for billions of global users with different backgrounds and values presents a challenge. Through an international survey with 1,696 internet users across 8 different countries across the world, this empirical study examines how international users perceive harmful content online and the similarities and differences in their perceptions. We found that across countries, the perceived severity consistently followed an exponential growth as the harmful content became more severe, but what harmful content were perceived as more or less severe varied significantly. Our results challenge platform content moderation’s status quo of using a one-size-fits-all approach to govern international users, and provide guidance on how platforms may wish to prioritize and customize their moderation of harmful content.


Now a day’s Artificial intelligence is very important. To eradicate the media piracy on the internet we are going to implement the technique called the page replacement algorithm by using the artificial intelligence. Detecting and stopping by manually it is not possible to remove manually. The page replacement algorithm will help to detect the media piracy on the internet. Internet means that any of the social media platforms like gmail ,youtube,drives etc. By using this page replacement algorithm we are going to achieve. This algorithm will helps to detect it will divide into the number of frames each page has the several frames .Each frame in the page get scanned by the page replacement algorithm . Based on this technique replaces the page that used for the long period of time. This page replacement algorithm has to work very fastlly and consumes the less memory. This technology has controlled by the any government companies. The government has specified companies to detect such piracy. The LRU technique maintains the backward of the page. This LRU helps within seconds to detect the piracy on the internet.


2020 ◽  
Vol 3 (2) ◽  
pp. 75-102
Author(s):  
Ramasela Semang L. Mathobela ◽  
Shepherd Mpofu ◽  
Samukezi Mrubula-Ngwenya

An emerging global trend of brands advertising their products through LGBTIQ+ individuals and couples indicates growth of gender awareness across the globe. The media, through advertising, deconstructs homophobia and associated cultures through the use of LGBTIQ+s in commercials. This qualitative research paper centres the advancement of debates on human rights and social media as critical in the interaction between corporates and consumers. The Gillette, Chicken Licken‘s Soul Sisters and We the Brave advertisements were used to critically analyse how audiences react to the use of LGBTIQ+ characters and casts through comments posted on the brands‘ social media platforms. Further, the paper explored the role of social media in the mediation of significant gender issues such as homosexuality that are considered taboo to engage in. The paper used a qualitative approach. Using the digital ethnography method to observe comments and interactions from the chosen advertisement‘s online platforms, the paper employed queer and constructionist theories to deconstruct discourses around same-sex relations as used in commercials, especially in quasiconservative. The data used in the paper included thirty comments of the brands customers and audiences obtained from Twitter, Facebook and YouTube. The paper concludes there are positive development in human rights awareness as seen through advertisements and campaigns that use LGBTIQ+ communities in a positive light across the world.


2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110213
Author(s):  
Brooke Erin Duffy ◽  
Annika Pinch ◽  
Shruti Sannon ◽  
Megan Sawey

While metrics have long played an important, albeit fraught, role in the media and cultural industries, quantified indices of online visibility—likes, favorites, subscribers, and shares—have been indelibly cast as routes to professional success and status in the digital creative economy. Against this backdrop, this study sought to examine how creative laborers’ pursuit of social media visibility impacts their processes and products. Drawing upon in-depth interviews with 30 aspiring and professional content creators on a range of social media platforms—Instagram, YouTube, TikTok, Pinterest, and Twitter—we contend that their experiences are not only shaped by the promise of visibility, but also by its precarity. As such, we present a framework for assessing the volatile nature of visibility in platformized creative labor, which includes unpredictability across three levels: (1) markets, (2) industries, and (3) platform features and algorithms. After mapping out this ecological model of the nested precarities of visibility, we conclude by addressing both continuities with—and departures from—the earlier modes of instability that characterized cultural production, with a focus on the guiding logic of platform capitalism.


Author(s):  
Max Z. Li ◽  
Megan S. Ryerson

Community outreach and engagement efforts are critical to an airport’s role as an ever-evolving transportation infrastructure and regional economic driver. As online social media platforms continue to grow in both popularity and influence, a new engagement channel between airports and the public is emerging. However, the motivations behind and effectiveness of these social media channels remain unclear. In this work, we address this knowledge gap by better understanding the advantages, impact, and best practices of this newly emerging engagement channel available to airports. Focusing specifically on airport YouTube channels, we first document quantitative viewership metrics, and examine common content characteristics within airport YouTube videos. We then conduct interviews and site visits with relevant airport stakeholders to identify the motivations and workflow behind these videos. Finally, we facilitate sample focus groups designed to survey public perceptions of the effectiveness and value of these videos. From our four project phases, to maximize content effectiveness and community engagement potential, we synthesize the following framework of action items, recommendations, and best practices: (C) Consistency and community; (O) Organizational structure; (M) Momentum; (B) Branding and buy-in; (A) Activity; (T) Two-way engagement; (E) Enthusiasm; and (D) Depth, or as a convenient initialism, our COMBATED framework.


2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.


2021 ◽  
pp. 194016122110091
Author(s):  
Magdalena Wojcieszak ◽  
Ericka Menchen-Trevino ◽  
Joao F. F. Goncalves ◽  
Brian Weeks

The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) social networks, (3) news aggregators, (4) search engines, (5) webmail, and (6) hyperlinks in news. We examine the extent to which each avenue promotes news exposure and also exposes users to news sources that are left leaning, right leaning, and centrist. When combined with information on individual political leanings, we show the extent of dissimilar, centrist, or congenial exposure resulting from each avenue. We rely on web browsing history records from 636 social media users in the US paired with survey self-reports, a unique data set that allows us to examine both aggregate and individual-level exposure. Visits to news websites account for about 2 percent of the total number of visits to URLs and are unevenly distributed among users. The most widespread ways of accessing news are search engines and social media platforms (and hyperlinks within news sites once people arrive at news). The two former avenues also increase dissimilar news exposure, compared to accessing news directly, yet direct news access drives the highest proportion of centrist exposure.


2021 ◽  
Vol 19 (7) ◽  
pp. 59-82
Author(s):  
Md Ashraf Ahmed, PhD Candidate ◽  
Arif Mohaimin Sadri, PhD ◽  
M. Hadi Amini, PhD, DEng

Risk perception and risk averting behaviors of public agencies in the emergence and spread of COVID-19 can be retrieved through online social media (Twitter), and such interactions can be echoed in other information outlets. This study collected time-sensitive online social media data and analyzed patterns of health risk communication of public health and emergency agencies in the emergence and spread of novel coronavirus using data-driven methods. The major focus is toward understanding how policy-making agencies communicate risk and response information through social media during a pandemic and influence community response—ie, timing of lockdown, timing of reopening, etc.—and disease outbreak indicators—ie, number of confirmed cases and number of deaths. Twitter data of six major public organizations (1,000-4,500 tweets per organization) are collected from February 21, 2020 to June 6, 2020. Several machine learning algorithms, including dynamic topic model and sentiment analysis, are applied over time to identify the topic dynamics over the specific timeline of the pandemic. Organizations emphasized on various topics—eg, importance of wearing face mask, home quarantine, understanding the symptoms, social distancing and contact tracing, emerging community transmission, lack of personal protective equipment, COVID-19 testing and medical supplies, effect of tobacco, pandemic stress management, increasing hospitalization rate, upcoming hurricane season, use of convalescent plasma for COVID-19 treatment, maintaining hygiene, and the role of healthcare podcast in different timeline. The findings can benefit emergency management, policymakers, and public health agencies to identify targeted information dissemination policies for public with diverse needs based on how local, federal, and international agencies reacted to COVID-19.


2018 ◽  
Vol 11 (4) ◽  
pp. 392-406 ◽  
Author(s):  
Mercy Ette ◽  
Sarah Joe

This article focuses on the framing of Boko Haram, a transnational terrorist group, in legacy and social media platforms. The discussion is predicated on the understanding that in spite of its popularity as a research tool, the concept of framing is still problematic. One area of contention has been the reliability and validity of framing analysis. Drawing on Robert Entman’s seminal definition, this study investigates the viability of two innovative framing approaches and explores the intersection of the framing of Boko Haram in four Nigerian newspapers and Twitter. The authors argue that, while newspapers continue to dominate the media space, it is important to acknowledge the growing relevance of social media in shaping and influencing the opinion of their users. The study’s findings support the viability of these approaches and come to the conclusion that exploring the differences between the platforms can unearth different versions of reality.


2018 ◽  
Vol 29 (3) ◽  
pp. 169-188 ◽  
Author(s):  
Lukasz Szulc

AbstractThe practice of profile making has become ubiquitous in digital culture. Internet users are regularly invited, and usually required, to create a profile for a plethora of digital media, including mega social media platforms such as Facebook and Twitter. Understanding profiles as a set of identity performances, I argue that the platforms employ profiles to enable and incentivize particular ways and foreclose other ways of self-performance. Drawing on research into digital media and identities, combined with mediatization theories, I show how the platforms: (a) embrace datafication logic (gathering as much data as possible and pinpointing the data to a particular unit); (b) translate the logic into design and governance of profiles (update stream and profile core); and (c) coax—at times coerce—their users into making of abundant but anchored selves, that is, performing identities which are capacious, complex, and volatile but singular and coherent at the same time.


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