scholarly journals Where translation impacts: The non-professional community on Chinese online social media – A descriptive case study on the user-generated translation activity of Bilibili content creators

2021 ◽  
pp. 205943642110006
Author(s):  
Ning Ding ◽  
Zhimiao Yang ◽  
Sida Li ◽  
Ailing Zhang
Keyword(s):  
Social Media ◽  
Professional Community ◽  
Theory Model ◽  
Descriptive Case Study ◽  
Online Social Media ◽  
Collective Activity ◽  
Social Media Platforms ◽  
International Social

This study explored the user-generated translation activity in the context of the Chinese online social media. It focused on Bilibili content creators dedicated to translating public comments on China-related videos posted on international social media platforms such as YouTube, and creating videos featuring Chinese translated comments. Viewing their translation actions as events in a collective activity system, the authors collected data from 30 participants through a questionnaire and follow-up interviews with two participants who have recently worked on videos about China’s fight against Covid-19. All the data were analysed by using Engeström’s activity theory model to create an activity model showing how their user-generated translation activity was conducted. In this study, we observed that the participants, as the non-professional translation community on the Chinese online social media, were breaking down linguistic borders for fans and viewers, and postulated the possible interaction between the user-generated translation work and their better understanding of how the world saw China through grassroots expression of opinions.

scholarly journals Clinical Trial Recruitment and Retention of College Students with Type 1 Diabetes via Social Media: An Implementation Case Study

2019 ◽  
Vol 13 (3) ◽  
pp. 445-456 ◽  
Author(s):  
Lauren E. Wisk ◽  
Eliza B. Nelson ◽  
Kara M. Magane ◽  
Elissa R. Weitzman
Keyword(s):  
College Students ◽  
Social Media ◽  
Type 1 Diabetes ◽  
Decision Rules ◽  
Health Related ◽  
Social Media Platforms ◽  
Trial Implementation

Background: We sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns. Method: We recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138). Results: Facebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media. Conclusions: We demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

Understanding the Role of Online Media Platforms in Airport Capital Projects and Community Outreach

2021 ◽  
pp. 036119812199347
Author(s):  
Max Z. Li ◽  
Megan S. Ryerson
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Community Outreach ◽  
Capital Projects ◽  
The Public ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Project Phases ◽  
Media Channels ◽  
Common Content

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.

A Survey of Computational Methods for Online Mental State Assessment on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani
Keyword(s):  
Social Media ◽  
Mental Disorders ◽  
Mental State ◽  
Extraction Process ◽  
State Assessment ◽  
Future Research ◽  
Linguistic Markers ◽  
Online Social Media ◽  
Suicide Behaviour ◽  
Social Media Platforms

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.

scholarly journals A Tale of Two Disasters

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 694-694
Author(s):  
Tammy Mermelstein
Keyword(s):  
Older Adults ◽  
Social Media ◽  
Interest Group ◽  
Media Analysis ◽  
Ice Storm ◽  
Social Media Analysis ◽  
Individual Survival ◽  
Social Media Platforms

Abstract Preparing for or experiencing a disaster is never easy, but how leaders communicate with older adults can ease a situation or make it exponentially worse. This case study describes two disasters in the same city: Hurricane Harvey and the 2018 Houston Texas Ice Storm and the variation in messaging provided to and regarding older adults. For example, during Hurricane Harvey, the primary pre-disaster message was self-preparedness. During the storm, messages were also about individual survival. Statements such as “do not [climb into your attic] unless you have an ax or means to break through,” generated additional fear for older adults and loved ones. Yet, when an ice storm paralyzed Houston a few months later, public messaging had a strong “check on your elderly neighbors” component. This talk will explore how messaging for these events impacted older adults through traditional and social media analysis, and describe how social media platforms assisted people with rescue and recovery. Part of a symposium sponsored by Disasters and Older Adults Interest Group.

scholarly journals Rapid deployment of a community engagement study and educational trial via social media: implementation of the UC-COVID study

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Lauren E. Wisk ◽  
Russell G. Buhr
Keyword(s):  
Social Media ◽  
Search Activity ◽  
Community Partners ◽  
Community Values ◽  
Sample Representativeness ◽  
Adult Participants ◽  
Health Related ◽  
Social Media Platforms ◽  
Rapid Deployment

Abstract Background In response to the COVID-19 pandemic and associated adoption of scarce resource allocation (SRA) policies, we sought to rapidly deploy a novel survey to ascertain community values and preferences for SRA and to test the utility of a brief intervention to improve knowledge of and values alignment with a new SRA policy. Given social distancing and precipitous evolution of the pandemic, Internet-enabled recruitment was deemed the best method to engage a community-based sample. We quantify the efficiency and acceptability of this Internet-based recruitment for engaging a trial cohort and describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools. Methods We recruited 1971 adult participants (≥ 18 years) via engagement with community partners and organizations and outreach through direct and social media messaging. We quantified response rate and participant characteristics of our sample, examine sample representativeness, and evaluate potential non-response bias. Results Recruitment was similarly derived from direct referral from partner organizations and broader social media based outreach, with extremely low study entry from organic (non-invited) search activity. Of social media platforms, Facebook was the highest yield recruitment source. Bot activity was present but minimal and identifiable through meta-data and engagement behavior. Recruited participants differed from broader populations in terms of sex, ethnicity, and education, but had similar prevalence of chronic conditions. Retention was satisfactory, with entrance into the first follow-up survey for 61% of those invited. Conclusions We demonstrate that rapid recruitment into a longitudinal intervention trial via social media is feasible, efficient, and acceptable. Recruitment in conjunction with community partners representing target populations, and with outreach across multiple platforms, is recommended to optimize sample size and diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms. Trial registration ClinicalTrials.gov NCT04373135. Registered on May 4, 2020

scholarly journals Developing a social media strategy for R&D in energy efficiency – a case study in progress

2019 ◽  
Vol 116 ◽  
pp. 00006
Author(s):  
Elmar Bartlmae ◽  
Luis Arboledas-Lérida ◽  
Natalie Höppner
Keyword(s):  
Social Media ◽  
Energy Efficiency ◽  
Research And Development ◽  
Online Tool ◽  
Assessment And Evaluation ◽  
Evaluation Procedures ◽  
Social Media Platforms ◽  
Social Media Strategy

Social Media platforms are increasingly receiving attention from scholars, as they are presumed to be both useful tools for undertaking professional assignments and a medium for engaging with large audiences and communities, within and outside academia. Additionally, these novel practices online need proper assessment and evaluation procedures. This paper aims to address the possibilities and challenges for niche research and development (R&D) projects in communicating their research via social media. The authors applied a seven-step social media strategy to an ongoing energy efficiency case study and discuss an online tool for monitoring the respective impact on social media.

scholarly journals The use of Twitter and Facebook Social Media in Communicating & Disseminating Weather and Climate Information by Kenya Meteorological Department

2020 ◽  
pp. 11-21
Author(s):  
Misiani Zachary ◽  
Lun Yin ◽  
Mwai Zacharia ◽  
Xiaohan Zhang ◽  
Yanyan Zheng ◽  
...  
Keyword(s):  
Social Media ◽  
Research Methodology ◽  
Information Dissemination ◽  
The Other ◽  
Significant Part ◽  
Climate Information ◽  
Traditional Media ◽  
Weather And Climate ◽  
Social Media Platforms

Today, traditional media is still a significant part of disseminating weather and climate information, still they have not been able to reach out to all users of the target audience alone. On the other hand, social media platforms such as Twitter, Facebook, YouTube, Instagram, etc. are used as a tool of communicating weather and climate information to various users in a well-organized manner like never before. Using a scientific research methodology of case study, the research was designed to explore how the Kenya Meteorological Department (KMD) is using Twitter and Facebook accounts for weather and climate information dissemination to various users.

scholarly journals Selfies as expressively authentic identity performance

First Monday ◽  
2017 ◽  
Author(s):  
Linh Nguyen ◽  
Kim Barbour
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Theoretical Frameworks ◽  
Self Identity ◽  
Face To Face ◽  
Digital World ◽  
Online Social Media ◽  
Social Media Platforms ◽  
The Individual ◽  
The University

This paper explores whether or not our online social media persona is viewed as authentic. The selfie is a fundamental part of the structure of the online identity for young people in today’s digital world. The relationship between an individual’s self-identity in the physical face-to-face environment was analysed and compared to a carefully constructed, modified virtual representation in a selfie posted on social media platforms. Data was obtained through four focus groups at the University of Adelaide. Two key theoretical frameworks provide a basis for this study: Erving Goffman’s concept of the self as a performance, and Charles Horton Cooley’s concept of the looking glass self. In examining the focus group discussions in light of these two frameworks as well as associated literature, we conclude that the authenticity of the selfie as a way of visualising a social media persona is subjective and dependent on the individual posting a selfie. Ultimately, authenticity involves a degree of subjectivity. It was on this basis that focus group participants argued that selfies could be considered authentic expressions of identity.

scholarly journals Digital sources: a case study of the analysis of the Recovery of Historical Memory in Spain on the social network Twitter

2019 ◽  
Vol 7 (2) ◽  
pp. 015 ◽  
Author(s):  
Mariluz Congosto
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Network ◽  
Historical Memory ◽  
Historical Research ◽  
Huge Amount ◽  
Online Social Media ◽  
The Social ◽  
Special Relevance

The incorporation of digital sources from online social media into historical research brings great opportunities, although it is not without technological challenges. The huge amount of information that can be obtained from these platforms obliges us to resort to the use of quantitative methodologies in which algorithms have special relevance, especially regarding network analysis and data mining. The Recovery of Historical Memory in Spain on the social network Twitter will be analysed in this article. An open-code tool called T-Hoarder was used; it is based on objectivity, transparency and knowledge-sharing. It has been in use since 2012.

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