Influence of content and creator characteristics on sharing disaster-related information on social media

2021 ◽  
pp. 103489
Author(s):  
Lifang Li ◽  
Jun Tian ◽  
Qingpeng Zhang ◽  
Jiaqi Zhou
Keyword(s):  
Social Media ◽  
Related Information

scholarly journals Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh

Epidemiologia ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 84-94
Author(s):  
Mst. Marium Begum ◽  
Osman Ulvi ◽  
Ajlina Karamehic-Muratovic ◽  
Mallory R. Walsh ◽  
Hasan Tarek ◽  
...  
Keyword(s):  
Social Media ◽  
Web Based ◽  
Study Objective ◽  
The Public ◽  
Mainstream Media ◽  
Related Information ◽  
Vector Borne ◽  
Media Outlet ◽  
And Control

Background: Chikungunya is a vector-borne disease, mostly present in tropical and subtropical regions. The virus is spread by Ae. aegypti and Ae. albopictus mosquitos and symptoms include high fever to severe joint pain. Dhaka, Bangladesh, suffered an outbreak of chikungunya in 2017 lasting from April to September. With the goal of reducing cases, social media was at the forefront during this outbreak and educated the public about symptoms, prevention, and control of the virus. Popular web-based sources such as the top dailies in Bangladesh, local news outlets, and Facebook spread awareness of the outbreak. Objective: This study sought to investigate the role of social and mainstream media during the chikungunya epidemic. The study objective was to determine if social media can improve awareness of and practice associated with reducing cases of chikungunya. Methods: We collected chikungunya-related information circulated from the top nine television channels in Dhaka, Bangladesh, airing from 1st April–20th August 2017. All the news published in the top six dailies in Bangladesh were also compiled. The 50 most viewed chikungunya-related Bengali videos were manually coded and analyzed. Other social media outlets, such as Facebook, were also analyzed to determine the number of chikungunya-related posts and responses to these posts. Results: Our study showed that media outlets were associated with reducing cases of chikungunya, indicating that media has the potential to impact future outbreaks of these alpha viruses. Each media outlet (e.g., web, television) had an impact on the human response to an individual’s healthcare during this outbreak. Conclusions: To prevent future outbreaks of chikungunya, media outlets and social media can be used to educate the public regarding prevention strategies such as encouraging safe travel, removing stagnant water sources, and assisting with tracking cases globally to determine where future outbreaks may occur.

Effectiveness of Travel Social Media Influencers: A Case of Eco-Friendly Hotels

2021 ◽  
pp. 004728752110194
Author(s):  
Payal S. Kapoor ◽  
M. S. Balaji ◽  
Yangyang Jiang ◽  
Charles Jebarajakirthy
Keyword(s):  
Social Media ◽  
Federal Trade Commission ◽  
Service Providers ◽  
Digital Marketing ◽  
Intention To Stay ◽  
Argument Quality ◽  
Related Information ◽  
Sustainability Practices ◽  
Tourism Service ◽  
Primary Channel

With social media becoming the primary channel for travelers to acquire travel-related information, tourism service providers are increasingly partnering with social media influencers (SMIs) as part of their digital marketing strategy. The present study investigates the effectiveness of SMIs by examining the role that two message factors—argument quality and sponsorship status—have on travelers’ perceptions of a hotel’s commitment to sustainability and their intention to stay at the hotel. Results from four studies show that when eco-friendly hotels sponsor SMIs, an attribute-value message is more effective than a simple recommendation message in influencing travelers’ perceptions and intentions. Given the latest Federal Trade Commission regulations regarding sponsorship disclosure practices, the findings offer valuable insights for tourism providers using SMIs. The study findings suggest that SMIs should create sponsored messages that provide rational and objective information about the hotel’s sustainability practices to stimulate travelers’ related cognitions and persuade them to patronize the hotel.

scholarly journals A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online

2021 ◽  
pp. 1-24
Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett
Keyword(s):  
Social Media ◽  
Adverse Events ◽  
News Media ◽  
Search Behavior ◽  
Social Media Data ◽  
Future Studies ◽  
Related Information ◽  
Youtube Videos ◽  
Negative Dominance ◽  
Media Data

Abstract Objective The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score. Methods We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic. Results While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media. Conclusion We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.

scholarly journals The Influence of Social Media use on Practice of Covid-19 Preventive Measures Among Ethiopian Residents: An Online Cross-Sectional Study

2021 ◽  
pp. 1-18
Author(s):  
Abinet Arega Sadore ◽  
Demelash Woldeyohannes Handiso ◽  
Tekle Ejajo Wontamo ◽  
Dejene Ermias Mekango ◽  
Sisay Moges
Keyword(s):  
Public Health ◽  
Social Media ◽  
Risk Perception ◽  
Preventive Measures ◽  
Media Use ◽  
Social Media Use ◽  
Cross Sectional ◽  
Preventive Practice ◽  
Related Information ◽  
Study Participants

Abstract Background: Infection with coronavirus disease (COVID-19) has become a severe public health issue worldwide. A broad amount of information related to the novel coronavirus (COVID-19) pandemic was disseminated by social media in Ethiopia. To date, there is limited evidence on the influence of social media use for covid-19 related information on covid-19 preventive practice. Therefore, this study aimed to assess the influence of social media use on the practice of COVID-19 preventive measures in Ethiopia. Methods: This study employed an anonymous internet-based online cross-sectional survey using Google forms to collects the data from the respondents from 15 May to 17 June 2020 in Ethiopia. Multivariable logistic regression was used to assess the relationship between social media usage as a predictor and COVID-19 preventive practice, after adjusting for socio-demographic and risk perception of COVID-19 variables. The data were analysed using SPSS version 21. Results: A total of 372 respondents have participated in the study. From 372, 208(55.9%) respondents in this study were male. Study participants who had good utilization of social media to get COVID-19 related information were 9.5 times engaged in COVID-19 preventive practices compared to study participants who had poor utilization of social media to get covid-19 related information (AOR= 9.59, 95% CI = 5.70 - 16.13). Also, study participants who had a high-risk perception of COVID-19 were 2.6 times engaged in COVID-19 practices compared to study participants who had a low-risk perception of covid-19 (AOR = 2.63, 95% CI = 1.58 - 4.38). Study participants who were students at the time of this study were four times more likely to show adequate COVID-19 preventive practice score compared to those who had another occupational status (AOR= 4.07, 95% CI= 1.66 - 9.98) Conclusions: Our results show that the usage of social media networks can have a positive effect on the practice of preventive measures and public safety against COVID-19; high-risk perception contributed to preventive activities against COVID-19. Social networking platforms can be used by public health agencies as an important method to raise public health understanding by disseminating concise messages to targeted audiences.

The influence of public health information sharing on social media during the early COVID-19 outbreak

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiao-Chieh Chen ◽  
Yu-Ping Chiu
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
Content Type ◽  
Related Information ◽  
Activity Effect ◽  
Network Cluster ◽  
Public Health Information ◽  
Health Information Sharing

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.

Subjective Text Mining for Arabic Social Media

2017 ◽  
Vol 13 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Nourah F. Bin Hathlian ◽  
Alaaeldin M. Hafez
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Research Area ◽  
Arabic Text ◽  
Classification Methods ◽  
Learning Mechanisms ◽  
Subjective Analysis ◽  
Related Information ◽  
Data Source ◽  
Rich Content

The need for designing Arabic text mining systems for the use on social media posts is increasingly becoming a significant and attractive research area. It serves and enhances the knowledge needed in various domains. The main focus of this paper is to propose a novel framework combining sentiment analysis with subjective analysis on Arabic social media posts to determine whether people are interested or not interested in a defined subject. For those purposes, text classification methods—including preprocessing and machine learning mechanisms—are applied. Essentially, the performance of the framework is tested using Twitter as a data source, where possible volunteers on a certain subject are identified based on their posted tweets along with their subject-related information. Twitter is considered because of its popularity and its rich content from online microblogging services. The results obtained are very promising with an accuracy of 89%, thereby encouraging further research.

scholarly journals Learning Social Media Content Optimization: How Can SMEs Draw the Users' Attention on Official WeChat Accounts?

2022 ◽  
Vol 12 ◽  
Author(s):  
Xueyun Zeng ◽  
Xuening Xu ◽  
Yenchun Jim Wu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Psychological Needs ◽  
Media Content ◽  
Media Usage ◽  
Knowledge Based ◽  
Related Information ◽  
Artificial Intelligence Technology ◽  
Positive Effect ◽  
Content Optimization

Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises (SMEs) on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found that articles with enterprise-related information optimized for content related to users' psychological needs (heart-based content optimization, mind-based content optimization, and knowledge-based content optimization) achieved higher visibility than that of sheer enterprise-related information, whereas the enterprise-related information embedded with material incentive (benefits-based content optimization) brings lower visibility. The results confirm the positive effect of psychological needs on the diffusion of enterprise-related information, and provide guidance for SMEs to apply artificial intelligence technology to social media practice.

scholarly journals Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Chengyan Zhu ◽  
Runxi Zeng ◽  
Wei Zhang ◽  
Richard Evans ◽  
Rongrong He
Keyword(s):  
Social Media ◽  
Pregnant Women ◽  
Information Seeking ◽  
Chinese Culture ◽  
Instant Messaging ◽  
Media Usage ◽  
Related Information ◽  
Expectant Mothers ◽  
Media Channels ◽  
The Impact

BACKGROUND Social media has become the most popular communication tool used by Chinese citizens, including expectant mothers. An increasing number of women have adopted various forms of social media channels, such as interactive websites, instant messaging, and mobile apps, to solve problems and obtain answers to queries during pregnancy. Although the use of the internet by pregnant women has been studied extensively worldwide, limited research exists that explores the changing social media usage habits in China, where the 1 child policy ended in 2015. OBJECTIVE This study aimed to (1) present the status quo of pregnancy-related information seeking and sharing via social media among Chinese expectant mothers, (2) reveal the impact of social media usage, and (3) shed light on pregnancy-related health services delivered via social media channels. METHODS A qualitative approach was employed to examine social media usage and its consequences on pregnant women. A total of 20 women who had conceived and were at various stages of pregnancy were interviewed from July 20 to August 10, 2017. Thematic analysis was conducted on the collected data to identify patterns in usage. RESULTS Overall, 80% (16/20) of participants were aged in their 20s (mean 28.5 years [SD 4.3]). All had used social media for pregnancy-related purposes. For the seeking behavior, 18 codes were merged into 4 themes, namely, gravida, fetus, delivery, and the postpartum period; whereas for sharing behaviors, 10 codes were merged into 4 themes, namely, gravida, fetus, delivery, and caretaker. Lurking, small group sharing, bad news avoidance, and cross-checking were identified as the preferred patterns for using social media. Overall, 95% (19/20) of participants reported a positive mental impact from using social media during their pregnancy. CONCLUSIONS It is indisputable that social media has played an increasingly important role in supporting expectant mothers in China. The specific seeking and sharing patterns identified in this study indicate that the general quality of pregnancy-related information on social media, as well as Chinese culture toward pregnancy, is improving. The new themes that merge in pregnancy-related social media use represent a shift toward safe pregnancy and the promotion of a more enjoyable pregnancy. Future prenatal care should provide further information on services related to being comfortable during pregnancy and reducing the inequality of social media–based services caused by the digital divide.

The influences of different types of social media activities on ethnic minorities’ acculturation

2021 ◽  
pp. 146144482110479
Author(s):  
Chun Lai
Keyword(s):  
Social Media ◽  
Ethnic Minority ◽  
Minority Students ◽  
Bicultural Identity ◽  
Bicultural Competence ◽  
Ethnic Minority Students ◽  
Related Information ◽  
Weak Association ◽  
Different Types ◽  
Mainstream Culture

Adopting the activity-audience framework, this study examined how different social media activities among a group of ethnic minority students associated with acculturation. It took a Qual-Quant sequential design by interviewing 44 secondary school ethnic minority students in Hong Kong first to conceptualize the potential relationships and then surveying 565 students to test the conceptual model. It found that different social media activities associated differently with acculturation; in contrast to the weak association of communication with friends and schoolmate, consuming mainstream culture-related information and interacting with strangers from the mainstream culture were the important determinators of the students’ bicultural competence and bicultural identity. Cognitive appraisal positively mediated the contribution of information consumption, whereas communication with strangers was mediated positively by behavioral appraisal but negatively by affective appraisal. The findings advocate a differentiated approach toward utilizing the affordances of social media activities for acculturation.

Sociodemographic Factors’ Influence on the Consumption and Assessment of COVID-19 Related Information–An International Web-Based Survey

2021 ◽  
Vol 14 (2 (40)) ◽  
pp. 26-44
Author(s):  
Sigrid STJERNSWÄRD ◽  
Anna-Karin IVERT ◽  
Stinne GLASDAM
Keyword(s):  
Social Media ◽  
Sociodemographic Factors ◽  
Cross Sectional ◽  
Web Based ◽  
Related Information ◽  
Education Levels ◽  
Reliability Assessments ◽  
Cross Sectional Design ◽  
People’S Attitudes ◽  
And Behavior

Information flows can affect people’s apprehension of the pan- demic and related behaviors. The aim is to explore how people access and assess COVID-19 information and whether sociodemographic factors are associated with these processes. Quantitative data from 928 persons from 29 countries who participated in an international web-based survey was ana- lyzed with descriptive and analytic statistics. Television, newspapers and social media were common sources to search for certain types of COVID-19 information. Age, educational level, employment status and sex were as- sociated with differences in terms of reported sources, types, and reliability assessments of retrieved information. Sex and education levels were associ- ated with differences pertaining to main sources and kinds of information searched. Younger respondents reported more frequent uses of social media than older respondents. Older respondents assessed information from tra- ditional media as more reliable information from social media. The current results show trends about where and how information is accessed and assessed during the pandemic. Some associations with sociodemographic factors were found, but the study’s cross-sectional design prevents causal inferences. Further research on consumption patterns of COVID-19 infor- mation and its effects on consumers is motivated, as this may in turn affect people’s attitudes and behavior relating to the pandemic.

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