scholarly journals Viral social media videos can raise pro-social behaviours when an epidemic arises

Author(s):  
Yiting Guo ◽  
Jason Shachat ◽  
Matthew J. Walker ◽  
Lijia Wei

AbstractAccess to information via social media is one of the biggest differentiators of public health crises today. During the early stages of the Covid-19 outbreak in January 2020, we conducted an experiment in Wuhan, China to assess the impact of viral social media content on pro-social and trust behaviours and preferences towards risk taking with known and unknown probabilities. Prior to the experiment, participants viewed one of two videos that had been widely and anonymously shared on Chinese social media: a central government leader visiting a local hospital and supermarket, or health care volunteers transiting to Wuhan. In a control condition, participants watched a Neutral video, unrelated to the crisis. Viewing one of the leadership or volunteer videos leads to higher levels of pro-sociality and lesser willingness to take risks in an ambiguous situation relative to the control condition. The leadership video, however, induces lower levels of trust. We provide evidence from two post-experiment surveys that the video’s impact on pro-sociality is modulated by influencing the viewer’s affective emotional state.

2021 ◽  
Vol 4 (1) ◽  
pp. 110-120
Author(s):  
S Akuma ◽  
P Obilikwu ◽  
E Ahar

There is a growing use of social media for communication and entertainment. The information obtained from these social media platforms like Facebook, Linkedln, Twitter and so on can be used for inferring users’ emotional state. Users express their emotions on social media such as Twitter through text and emojis. Such expression can be harvested for the development of a recommender system. In this work, live tweets of users were harvested for the development of an emotion-based music recommender system. The emotions captured in this work include happy, fear, angry disgusted and sad. Users tweets in the form of emojis or text were matched with predefined variables to predict the emotion of users. Random testing of live tweets using the system was conducted and the result showed high predictability.


2020 ◽  
Author(s):  
Joseph R Linzey ◽  
Faith Robertson ◽  
Ali S Haider ◽  
Christopher Salvatore Graffeo ◽  
Justin Z Wang ◽  
...  

BACKGROUND Social media use continues to gain momentum in academic neurosurgery. To increase journal impact and broaden engagement, many scholarly publications have turned to social media to disseminate research. The Journal of Neurosurgery Publishing Group (JNSPG) established a dedicated, specialized social media team (SMT) in November 2016 to provide targeted improvement in digital outreach. OBJECTIVE The goal of this study was to examine the impact of the JNSPG SMT as measured by increased engagement. METHODS We analyzed various metrics, including impressions, engagements, retweets, likes, profile clicks, and URL clicks, from consecutive social media posts from the JNSPG’s Twitter and Facebook platforms between February 1, 2015 and February 28, 2019. Standard descriptive statistics were utilized. RESULTS Between February 2015 and October 2016, when a specialized SMT was created, 170 tweets (8.1 tweets/month) were posted compared to 3220 tweets (115.0 tweets/month) between November 2016 and February 2019. All metrics significantly increased, including the impressions per tweet (mean 1646.3, SD 934.9 vs mean 4605.6, SD 65,546.5; <i>P</i>=.01), engagements per tweet (mean 35.2, SD 40.6 vs mean 198.2, SD 1037.2; <i>P</i>&lt;.001), retweets (mean 2.5, SD 2.8 vs mean 10.5, SD 15.3; <i>P</i>&lt;.001), likes (mean 2.5, SD 4.0 vs mean 18.0, SD 37.9; <i>P</i>&lt;.001), profile clicks (mean 1.5, SD 2.0 vs mean 5.2, SD 43.3; <i>P</i>&lt;.001), and URL clicks (mean 13.1, SD 14.9 vs mean 38.3, SD 67.9; <i>P</i>&lt;.001). Tweets that were posted on the weekend compared to weekdays had significantly more retweets (mean 9.2, SD 9.8 vs mean 13.4, SD 25.6; <i>P</i>&lt;.001), likes (mean 15.3, SD 17.9 vs mean 23.7, SD 70.4; <i>P</i>=.001), and URL clicks (mean 33.4, SD 40.5 vs mean 49.5, SD 117.3; <i>P</i>&lt;.001). Between November 2015 and October 2016, 49 Facebook posts (2.3 posts/month) were sent compared to 2282 posts (81.5 posts/month) sent between November 2016 and February 2019. All Facebook metrics significantly increased, including impressions (mean 5475.9, SD 5483.0 vs mean 8506.1, SD 13,113.9; <i>P</i>&lt;.001), engagements (mean 119.3, SD 194.8 vs mean 283.8, SD 733.8; <i>P</i>&lt;.001), and reach (mean 2266.6, SD 2388.3 vs mean 5344.1, SD 8399.2; <i>P</i>&lt;.001). Weekend Facebook posts had significantly more impressions per post (mean 7967.9, SD 9901.0 vs mean 9737.8, SD 19,013.4; <i>P</i>=.03) and a higher total reach (mean 4975.8, SD 6309.8 vs mean 6108.2, SD 12,219.7; <i>P</i>=.03) than weekday posts. CONCLUSIONS Social media has been established as a crucial tool for the propagation of neurosurgical research and education. Implementation of the JNSPG specialized SMT had a demonstrable impact on increasing the online visibility of social media content.


2020 ◽  
Author(s):  
Mohammed Salah Hassan ◽  
Hussam Al Halbusi ◽  
Ali Najem ◽  
Asbah Razali ◽  
Kent A. Williams ◽  
...  

Abstract The public’s actions will likely have a significant effect on the course of the coronavirus disease (COVID-19) pandemic. Human behavior is conditioned and shaped by information and perceptions of people. This study investigated the impact of risk perception on trust in government and self-efficacy. It examined whether the use of social media helps people adopt preventative actions during the pandemic. To test this hypothesis, data were gathered from 512 individuals (students and academicians) who were based in Malaysia during COVID-19. Our results suggested that risk perception had a significant effect on trust in government and self-efficacy. Moreover, these correlations were stronger when social media was used as a source for gathering information on COVID-19, and in some cases it even helped the user avoid being exposed to the virus. This study assessed the relationship between risk perception and the awareness gained from using social media during the pandemic and also highlighted how social media usage influences trust in government and self-efficacy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ai-Zhong He ◽  
Yi Cai ◽  
Ling Cai ◽  
Yu Zhang

PurposeThis paper studies the relationships among consumers’ perceptions of brand personality, consumers’ brand attitudes and brand-owned social media content marketing (SMCM). The moderating effect of the brand content relevancy was also assessed.Design/methodology/approachA conceptual model was established and examined using two experiments with a total of 363 participants. Hierarchical regression analysis and an analysis of variance were performed to test seven research hypotheses.FindingsResults show that the three forms of brand-owned SMCM, namely: conversation, storytelling and customer interaction and participation, are positively correlated with consumers’ brand personality perceptions and brand attitudes. Also, consumers’ perceptions of brand personality can partially mediate the relationship between brand-owned content marketing and consumers’ brand attitudes. Furthermore, the brand content relevancy does not show a moderating effect on the relationship between content marketing and consumers’ brand personality perceptions or brand attitudes.Originality/valueFirst, a framework was established to delineate those paths by which owned social media content marketing (OSMCM) influences consumers’ attitudes towards a brand. Second, the study demonstrates the importance of conversation as a powerful method of OSMCM. Third, with respect to content in marketing strategies, firms do not need to confine themselves to a narrow scope of content or information that is closely related to the brands alone.


Author(s):  
Anna Smout ◽  
Cath Chapman ◽  
Marius Mather ◽  
Tim Slade ◽  
Maree Teesson ◽  
...  

(1) Background: More time spent on social media has been linked to increased alcohol use, with exposure to peer alcohol-related content on social media (content exposure) named as a critical factor in this relationship. Little is currently known about whether early content exposure may have lasting effects across adolescent development, or about the capacity of parental monitoring of social media use to interrupt these links. (2) Methods: These gaps were addressed in both cross-sectional and longitudinal contexts among a longitudinal sample of Australian secondary school students (n = 432) across the ages of 13–16. (3) Results: Evidence was found for links between social media use and alcohol use frequency in early development. Social media time at age 13 was significantly associated with concurrent alcohol use frequency. At age 13, alcohol use frequency was significantly higher among those who reported content exposure compared to those who reported no exposure. Longitudinally, the frequency of alcohol use over time increased at a faster rate among participants who reported content exposure at age 13. In terms of parental monitoring, no longitudinal effects were observed. However, parental monitoring at age 13 did significantly reduce the concurrent relationship between alcohol use frequency and content exposure. (4) Conclusion: The impact of social media content exposure on alcohol use in adolescence may be more important than the time spent on social media, and any protective effect of parental monitoring on content exposure may be limited to the time it is being concurrently enacted.


2021 ◽  
Vol 13 (23) ◽  
pp. 13311
Author(s):  
Olga Vl. Bitkina ◽  
Jaehyun Park

The world has been experiencing an unprecedented global pandemic since December 2019. Lockdowns, restrictions in daily life, and social distancing characterize the new environment in which the world population finds itself, with minor variations depending on the country of residence. Television, social media, and other sources of information tend to influence and provide information about COVID-19 with varying tones. This study investigated the impact of alerts, news, and information about COVID-19 from social and mass media on the emotional state of the people a year and a half after the start of the pandemic. A questionnaire was developed and distributed to 63 participants to assess the relationships between factors such as social media experience, perceived hope, worry, anxiety/depression, attentiveness, trust, health care, health risk, health safety, irritability, mental balance, and emotional state/distress. With the resulting information, a four-factor model was developed to demonstrate the relationships between social media experience, perceived hope, worry, and emotional state/distress. Additionally, a short interview was conducted among the participants in order to collect their opinions and qualitatively analyze them. The developed model demonstrates satisfactory performance characteristics and allows assessment of the delayed influence of incoming information on the people during this unprecedented pandemic.


2021 ◽  
Author(s):  
Mohsen Mosleh ◽  
Gordon Pennycook ◽  
David Gertler Rand

Online behavioral data, such as digital traces from social media, have the potential to allow researchers an unprecedented new window into human behavior in ecologically valid everyday contexts. However, research using such data is often purely observational, limiting its ability to identify causal relationships. Here we review recent innovations in experimental approaches to studying online behavior, with a particular focus on research related to misinformation and political psychology. In hybrid lab-field studies, exposure to social media content can be randomized, and the impact on attitudes and beliefs measured using surveys; or exposure to treatments can be randomized within survey experiments, and their impact observed on subsequent online behavior. In field experiments conducted on social media, randomized treatments can be administered directly to users in the online environment - e.g. via social tie invitations, private messages, or public posts - without revealing that they are part of an experiment, and the impacts on subsequent online behavior observed. The strengths and weaknesses of each approach are discussed, along with practical advice and central ethical constraints on such studies.


Author(s):  
Yujie Wang ◽  
Damminda Alahakoon ◽  
Daswin De Silva

The event-indexing situation models are introduced as event models derived from language to facilitate comprehension and memory retrieval. These models explain how fragmental information about events are collected, integrated and updated into a coherent set of views of what the text is about. The models are adopted as the basis of this study as an attempt to capture the event with contextual, dynamic, and social features, as conveyed by the vast volumes of online textual resources. Information in social media is received through highly personalized channels and is reshaped and interpreted in a more individual, segmental and real-time manner. The reprocessed information is then spread at high speed to a wider range of receivers. Therefore, the interpretation of mainstream media content is influenced by ongoing and dynamic contribution of opinions by users empowered by social media. This new phenomenon has not been examined so far from the perspective of the impact on conventional situation models. This paper explores how collaborative and sharing aspects of social media emphasize subjectivity of interpretation of mainstream media and proposes an extended cognitive situation model which better represents event-centric knowledge. This study investigates the mechanisms for constructing and updating the situation models with continuous textual information streamed from heterogeneous forms of media. It also empirically demonstrates how the proposed model can enhance the understanding of subjective aspects of events with dynamic social opinions.


2017 ◽  
Vol 9 (2) ◽  
pp. 41-56 ◽  
Author(s):  
Nora Martin

‘Post-truth’ was not a new concept when it was selected as the international word of the year (2016) by Oxford Dictionaries. In the context of communications research, scholars were discussing journalism in the ‘post-factual’ age some thirty years ago (Ettema 1987). In the digital era, journalistic practice itself has changed; stories are generated by a multiplicity of actors in a participative and interactive way. This paper contemplates the nature of journalists’ information practices in the 21st century and relates these to the roles of information and social media in civil society. The methodology draws on the findings of pilot research studies investigating journalists’ information practices in the digital realm (Martin 2014; 2015) and investigates the pressures of verification. The author posits that that we are ostensibly living in a ‘post-truth’ society largely due to the impact of changes in the news milieu in the digital age. With so many diverse voices in the mix, it is increasingly difficult for citizens to separate fact from fiction; journalists thus have a role as verifiers. It is crucial for information consumers (citizenry) to have the requisite skills and knowledge to critically evaluate media content and deal with information and communication overload.


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