scholarly journals Social Media for Social Inclusion: Barriers to Participation in Target-Language Online Communities

2019 ◽  
Vol 36 (3) ◽  
pp. 154-172
Author(s):  
Ellen Yeh ◽  
Nicholas Swinehart
Keyword(s):  
Social Media ◽  
International Students ◽  
Online Communities ◽  
Social Inclusion ◽  
Target Language ◽  
Discussion Forums ◽  
Wide Range ◽  
Personal Connections ◽  
Language Communication ◽  
Social Media Platforms

Many learners, even those studying at universities in regions where the target language is spoken, lack opportunities for meaningful language use outside of the classroom. One avenue for learners to increase authentic target-language communication is online affinity spaces within social media platforms, where interactions with other users are formed around shared interests rather than personal connections. International students at an arts and media college in the Midwestern United States were asked to read a discussion thread within a social media platform, summarize what they found useful, and respond to pre- and posttask questionnaires. The platform used, Reddit, features anonymous user-generated content in a wide range of discussion forums based around specific interests and geographic locations. This study used qualitative data to investigate the extent to which international students participate in online communities like these and the factors or barriers that keep them from achieving full participation. The findings are then used to present learner training strategies that can help reduce or remove those barriers, enabling language learners to increase their participation in target-language online communities.      Plusieurs apprenantes et apprenants, même parmi celles et ceux qui étudient dans une université située dans une région où la langue cible est parlée, n’ont pas suffisamment d’occasions de pratiquer avantageusement leur nouvelle langue en dehors de la salle de classe. Une avenue qui s’ouvre à elles et à eux pour augmenter leurs chances de s’adonner à des communications authentiques dans leur langue cible est l’espace d’affinité en ligne sur les réseaux sociaux, endroit où les interactions sont davantage basées sur le partage d’intérêts communs que sur des relations personnelles. Des étudiantes et étudiants internationaux d’un collège des arts et des médias du Midwest des États-Unis ont été invités à lire un fil de discussion sur une plateforme de réseau social, à en résumer les éléments jugés utiles et à répondre à un questionnaire avant et après l’exercice. La plateforme utilisée, Reddit, présente des contenus qui sont générés anonymement par les utilisateurs dans un large éventail de forums de discussion et qui sont regroupés autour d’intérêts et de secteurs géographiques particuliers. Cette étude utilise des données qualitatives permettant d’évaluer dans quelle mesure les étudiantes et étudiants internationaux participent à la vie de communautés en ligne de ce genre et de déterminer quels sont les facteurs ou obstacles qui les empêchent de le faire pleinement. Les constatations sont ensuite utilisées pour présenter des stratégies de formation des apprenantes et apprenants qui sont susceptibles d’aider à réduire ou aplanir ces obstacles et à aider par le fait même les participants à s’impliquer davantage dans la vie de communautés en ligne s’exprimant dans leur langue cible.

scholarly journals Social Media Utilization in the Cochlear Implant Community

2015 ◽  
Vol 26 (02) ◽  
pp. 197-204 ◽  
Author(s):  
Rajeev C. Saxena ◽  
Ashton E. Lehmann ◽  
A. Ed Hight ◽  
Keith Darrow ◽  
Aaron Remenschneider ◽  
...  
Keyword(s):  
Social Media ◽  
Cochlear Implant ◽  
Online Communities ◽  
General Information ◽  
Information Support ◽  
Online Forums ◽  
Online Social Media ◽  
Wide Range ◽  
Information Research ◽  
Social Media Platforms

Background: More than 200,000 individuals worldwide have received a cochlear implant (CI). Social media Websites may provide a paramedical community for those who possess or are interested in a CI. The utilization patterns of social media by the CI community, however, have not been thoroughly investigated. Purpose: The purpose of this study was to investigate participation of the CI community in social media Websites. Research Design: We conducted a systematic survey of online CI-related social media sources. Using standard search engines, the search terms cochlear implant, auditory implant, forum, and blog identified relevant social media platforms and Websites. Social media participation was quantified by indices of membership and posts. Study Sample: Social media sources included Facebook, Twitter, YouTube, blogs, and online forums. Each source was assigned one of six functional categories based on its description. Intervention: No intervention was performed. Data Collection and Analysis: We conducted all online searches in February 2014. Total counts of each CI-related social media source were summed, and descriptive statistics were calculated. Results: More than 350 sources were identified, including 60 Facebook groups, 36 Facebook pages, 48 Twitter accounts, 121 YouTube videos, 13 forums, and 95 blogs. The most active online communities were Twitter accounts, which totaled 35,577 members, and Facebook groups, which totaled 17,971 members. CI users participated in Facebook groups primarily for general information/support (68%). Online forums were the next most active online communities by membership. The largest forum contained approximately 9,500 topics with roughly 127,000 posts. CI users primarily shared personal stories through blogs (92%), Twitter (71%), and YouTube (62%). Conclusions: The CI community engages in the use of a wide range of online social media sources. The CI community uses social media for support, advocacy, rehabilitation information, research endeavors, and sharing of personal experiences. Future studies are needed to investigate how social media Websites may be harnessed to improve patient-provider relationships and potentially used to augment patient education.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

scholarly journals Prevalence of health misinformation in social media: a systematic review (Preprint)

2019 ◽  
Author(s):  
Victor Suarez-Lledo ◽  
Javier Alvarez-Galvez
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
Social Media ◽  
Eating Disorders ◽  
Communicable Disease ◽  
Health Concern ◽  
Public Health Concern ◽  
Medical Treatments ◽  
Wide Range ◽  
Social Media Platforms

BACKGROUND The propagation of health misinformation through social media has become a major public health concern over the last two decades. Although today there is broad agreement among researchers, health professionals, and policy makers on the need to control and combat health misinformation, the magnitude of this problem is still unknown. Consequently, before adopting the necessary measures for the adequate control of health misinformation in social media, it is fundamental to discover both the most prevalent health topics and the social media platforms from which these topics are initially framed and subsequently disseminated. OBJECTIVE This systematic review aims to identify the main health misinformation topics and their prevalence on different social media platforms, focusing on methodological quality and the diverse solutions that are being implemented to address this public health concern. METHODS This systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines (PRISMA). We searched PubMed, MEDLINE, Scopus and the Web of Science for articles published in English before March 2019 with a particular focus on studying health misinformation in social media. We defined health misinformation as a health-related claim based on anecdotal evidence, false, or misleading due to the lack of existing scientific knowledge. The criteria for inclusion were: 1) articles that focused on health misinformation in social media, including those in which the authors discussed the consequences or purposes of health misinformation; and 2) studies that described empirical findings regarding the measurement of health misinformation in these platforms. RESULTS A total of 69 studies were identified as eligible, covering a wide range of health topics and social media platforms. The topics were articulated around six principal categories: vaccines (32%), drugs or smoking (22%), non-communicable disease (19%), pandemics (10%), eating disorders (9%), and medical treatments (7%). Studies were mainly based on five methodological approaches: Social Network Analysis (28%), Evaluating Content (26%), Evaluating Quality (24%), Content/Text analysis (16%) and Sentiment Analysis (6%). Health misinformation proved to be the most more prevalent in studies related to smoking products and drugs such as opioids or marijuana. Posts with misinformation reached 87% in some studies focused in smoking products. Health misinformation about vaccines was also very common (43%), but studies reported different levels of misinformation depending on the different vaccines, with the Human Papilloma Virus (HPV) vaccine being the most affected. Secondly, health misinformation related to diets or pro eating disorders (pro-ED) arguments were moderate in comparison to the aforementioned topics (36%). Studies focused on diseases (i.e. non-communicable diseases and pandemics) also reported moderate misinformation rates (40%), especially in the case of cancer. Finally, the lowest levels of health misinformation were related to medical treatments (30%). CONCLUSIONS Prevalence of health misinformation was most common on Twitter and on issues related to smoking products and drugs. However, misinformation is also high on major public health issues such as vaccines and diseases. Our study offers a comprehensive characterization of the dominant health misinformation topics and a comprehensive description of their prevalence in different social media platforms, which can guide future studies and help in the development of evidence-based digital policy actions plans. CLINICALTRIAL

scholarly journals Electoral Disinformation: Looking Through the Lens of Tsek.ph Fact Checks

Plaridel ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 285-295
Author(s):  
Yvonne Chua ◽  
Jake Soriano
Keyword(s):  
Social Media ◽  
Presidential Election ◽  
Wide Range ◽  
Midterm Elections ◽  
Fertile Ground ◽  
Social Media Platforms ◽  
The Media ◽  
Fact Checking

Elections are fertile ground for disinformation. The 2019 midterm elections, like the 2016 presidential election, buttress this observation. This ugly side of electoral contests is documented by Tsek.ph, a pioneering collaborative fact-checking initiative launched by three universities and eleven newsrooms specifically for the midterms. Its repository of fact checks provides valuable insights into the nature of electoral disinformation before, during and after the elections. Clearly, electoral disinformation emanates from candidates and supporters alike, on conventional (e.g., speeches and sorties) and digital (e.g., social media) platforms. Its wide range of victims includes the media no less.

Analysing the Effect of Value in Online Communities on Satisfaction in Online Socialisation and Knowledge-Sharing Intentions of Eco-Tourist

2017 ◽  
pp. 35-60 ◽  
Author(s):  
Sudipta Kiran Sarkar ◽  
Norman Au ◽  
Rob Law
Keyword(s):  
Social Media ◽  
Knowledge Sharing ◽  
Social Exchange ◽  
Online Communities ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Exchange Theory ◽  
Mediating Effect ◽  
Social Media Platforms ◽  
Order Factor

This study, which is based on social exchange theory (SET), focuses on the capacities of social media to provide such means by examining the effect of value in online communities (VOC) in social media platforms on satisfying ecotourists' online socialisation and knowledge sharing. Based on the data obtained from 543 ecotourists and analysed by structural equation modelling (SEM), the results of this study confirmed that VOC, which embeds the SET factors of cooperation, reputation, trust and altruism, significantly influenced ecotourists' satisfaction in socialisation and knowledge-sharing intentions through social media. Furthermore, VOC served as a higher-/second-order factor reflected by the indicators of cooperation, reputation, trust and altruism. Finally, ecotourists' satisfaction in socialisation exerted a significant mediating effect between VOC and knowledge sharing.

Crypto-currencies narrated on tweets: a sentiment analysis approach

2019 ◽  
Vol 36 (1) ◽  
pp. 58-72
Author(s):  
Saeed Rouhani ◽  
Ehsan Abedin
Keyword(s):  
Social Media ◽  
Radical Change ◽  
Media Analysis ◽  
Support Vector ◽  
Policy Makers ◽  
Content Type ◽  
The Social ◽  
Wide Range ◽  
Social Media Platforms ◽  
Social Opinions

Purpose Crypto-currencies, decentralized electronic currencies systems, denote a radical change in financial exchange and economy environment. Consequently, it would be attractive for designers and policy-makers in this area to make out what social media users think about them on Twitter. The purpose of this study is to investigate the social opinions about different kinds of crypto-currencies and tune the best-customized classification technique to categorize the tweets based on sentiments. Design/methodology/approach This paper utilized a lexicon-based approach for analyzing the reviews on a wide range of crypto-currencies over Twitter data to measure positive, negative or neutral sentiments; in addition, the end result of sentiments played a training role to train a supervised technique, which can predict the sentiment loading of tweets about the main crypto-currencies. Findings The findings further prove that more than 50 per cent of people have positive beliefs about crypto-currencies. Furthermore, this paper confirms that marketers can predict the sentiment of tweets about these crypto-currencies with high accuracy if they use appropriate classification techniques like support vector machine (SVM). Practical implications Considering the growing interest in crypto-currencies (Bitcoin, Cardano, Ethereum, Litcoin and Ripple), the findings of this paper have a remarkable value for enterprises in the financial area to obtain the promised benefits of social media analysis at work. In addition, this paper helps crypto-currencies vendors analyze public opinion in social media platforms. In this sense, the current paper strengthens our understanding of what happens in social media for crypto-currencies. Originality/value For managers and decision-makers, this paper suggests that the news and campaign for their crypto in Twitter would affect people’s perspectives in a good manner. Because of this fact, the firms, investing in these crypto-currencies, could apply the social media as a magnifier for their promotional activities. The findings steer the market managers to see social media as a predictor tool, which can analyze the market through understanding the opinions of users of Twitter.

scholarly journals Exploring Behavior of People with Suicidal Ideation in a Chinese Online Suicidal Community

2018 ◽  
Vol 16 (1) ◽  
pp. 54 ◽  
Author(s):  
Zheng Wang ◽  
Guang Yu ◽  
Xianyun Tian
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Suicidal Ideation ◽  
Network Analysis ◽  
Online Communities ◽  
Chinese Women ◽  
Intervention Strategies ◽  
Effective Prevention ◽  
Social Media Platforms

People with suicidal ideation (PSI) are increasingly using social media to express suicidal feelings. Researchers have found that their internet-based communication may lead to the spread of suicidal ideation, which presents a set of challenges for suicide prevention. To develop effective prevention and intervention strategies that can be efficiently applied in online communities, we need to understand the behavior of PSI in internet-based communities. However, to date there have been no studies that specifically focus on the behavior of PSI in Chinese online communities. A total of 4489 postings in which users explicitly expressed their suicidal ideation were labeled from 560,000 postings in an internet-based suicidal community on Weibo (one of the biggest social media platforms in China) to explore their behavior. The results reveal that PSI are significantly more active than other users in the community. With the use of social network analysis, we also found that the more frequently users communicate with PSI, the more likely that users would become suicidal. In addition, Chinese women may be more likely to be at risk of suicide than men in the community. This study enriches our knowledge of PSI’s behavior in online communities, which may contribute to detecting and assisting PSI on social media.

Likes, retweets, and polarization

2019 ◽  
Vol 116 (2) ◽  
pp. 183-192 ◽  
Author(s):  
Brian Kaylor
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Online Communities ◽  
Church Leaders ◽  
Dark Side ◽  
Emotional Information ◽  
Public Dialogue ◽  
Social Media Platforms ◽  
Aggressive Communication ◽  
Use Of Social Media

A key part of today’s polarized society is the polarized and polarizing world of social media. Although social media platforms bring the potential of more democratic involvement, greater public dialogue, and faster flow of news and information, the dark side of such Web 2.0 platforms also should concern church leaders and theologians. Already-existing polarization in society leads to a polarized use of social media as individuals seek like-minded online communities. Social media, however, also adds to that polarization by providing echo chambers, and features of social media encourage speed over accuracy and more aggressive communication. Three ways in which social media both represents and adds to polarization in politics, society, and churches are balkanization, as people separate into homogenous, polarized communities, the speeding nature of communication that allows inaccurate and overly emotional information to spread, and the flaming that occurs as anonymity and depersonalization of these communication platforms encourage aggressive and even violent rhetoric.

scholarly journals The COVID-19 Mental Health Content Moderation Conundrum

2020 ◽  
Vol 6 (3) ◽  
pp. 205630512094818 ◽  
Author(s):  
Ysabel Gerrard
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Safety Measures ◽  
Face To Face ◽  
Media Companies ◽  
Personal Connections ◽  
Social Media Platforms ◽  
Time Record ◽  
Media Society ◽  
The Uk

At the time of writing (mid-May 2020), mental health charities around the world have experienced an unprecedented surge in demand. At the same time, record-high numbers of people are turning to social media to maintain personal connections due to restrictions on physical movement. But organizations like the mental health charity Mind and even the UK Government have expressed concerns about the possible strain on mental health that may come from spending more time online during COVID-19. These concerns are unsurprising, as debates about the link between heavy social media use and mental illness raged long before the pandemic. But our newly heightened reliance on platforms to replace face-to-face communication has created even more pressure for social media companies to heighten their safety measures and protect their most vulnerable users. To develop and enact these changes, social media companies are reliant on their content moderation workforces, but the COVID-19 pandemic has presented them with two related conundrums: (1) recent changes to content moderation workforces means platforms are likely to be less safe than they were before the pandemic and (2) some of the policies designed to make social media platforms safer for people’s mental health are no longer possible to enforce. This Social Media + Society: 2K essay will address these two challenges in depth.

scholarly journals A Framework to process Text Data of Web Discussion Forums A Study of LisLinks

2019 ◽  
Vol 39 (06) ◽  
pp. 315-321
Author(s):  
Mohit Garg ◽  
Uma Kanjilal
Keyword(s):  
Social Media ◽  
Unstructured Data ◽  
The Internet ◽  
Discussion Forums ◽  
Text Data ◽  
Knowledge Repository ◽  
Social Media Platforms ◽  
Statistical Programming ◽  
Application Programming ◽  
Programming Interfaces

Nowadays, people use the internet for both seeking and disseminating information in a collaborative way on various social media platforms like Quora, Yahoo Answers, LisLinks Forum, etc. This social interaction on different topics makes these platforms as a knowledge repository. Evaluation of these repositories can help to understand various trends. However, this evaluation is a challenging task because of unstructured data and the unavailability of application programming interfaces for the harvesting of a dataset. This study presented a framework to harvest and pre-processing of data available on LisLinks Forum. The proposed framework is implemented using statistical programming language R. The fourteen metadata elements were defined for the discussion forums. The framework automatically harvest and pre-process relevant data of posts.

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