While the role of social media in the spread of conspiracy theories has received much attention, a key deficit in previous research is the lack of distinction between different types of platforms. ...This study places the role of social media affordances in facilitating the spread of conspiracy beliefs at the center of its enquiry. We examine the relationship between platform use and conspiracy theory beliefs related to the COVID-19 pandemic. Relying on the concept of technological affordances, we theorize that variation across key features make some platforms more fertile places for conspiracy beliefs than others. Using data from a crossnational dataset based on a two-wave online survey conducted in 17 countries before and after the onset of the COVID-19 pandemic, we show that Twitter has a negative effect on conspiracy beliefs—as opposed to all other platforms under examination which are found to have a positive effect.
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Digitally created online celebrities (so-called virtual influencers) have appeared on various social media and video streaming platforms. While the scientific community has recently started to take ...an interest in this new phenomenon, it still remains mostly unclear how online audiences engage with—and relate to—these artificial digital creations. To address the identified research gap, we conducted a preregistered experiment (N = 179), comparing viewers’ parasocial interactions (PSIs) with either a human or a virtual influencer. Based on natural stimuli, we find that viewers’ parasocial response does not differ significantly between the two groups. However, by focusing on several theoretically relevant mediator variables, we uncover two opposing effects at play: While a significant direct effect signifies stronger PSIs with the virtual influencer, participants also attribute this persona with less mental human-likeness and similarity to themselves—which ultimately suppresses the observed advantage. Potential explanations for our results are discussed.
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Public organizations often face numerous barriers when it comes to adopting and using social media to communicate and engage with the broader public. This research aims to better understand how ...barriers to social media adoption can be tackled by zooming in on one specific type of organization: the police. Our research answers the following question: to what effect do police forces manage barriers to the adoption of social media with social media policies? Firstly, by systematically reviewing previous studies using a typology of barriers to ICT adoption, this study identifies the types of barriers that the police are often faced with. Secondly, by qualitatively analyzing two frontrunner cases, the United Kingdom and the Netherlands, this study analyzes how social media policies address and can help overcome these barriers. The empirical analysis indicates that in addressing barriers to social media adoption, a combination of exploration and exploitation is needed to address both structural and cultural barriers to social media adoption. We argue that this fits an approach of the ‘perpetual beta’: ongoing technological innovation requires organization capacity to continuously adapt to socio-technical change.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Problematic social media use can be characterized as that which interferes with relationships, work, school, or sleep. Currently, there are no empirically supported treatments for reducing ...problematic social media use. We tested a package intervention to reduce the daily duration of social media use measured by a smartphone application with nine undergraduate students who scored as “addicted” to social media via a version of the Internet Addiction Test. The package intervention included contingency management, automated notifications of application use, and the selection of alternative activities. The package intervention was effective at reducing the daily duration of social media use to goal levels, or below, for all participants. Eight out of nine participants showed a decrease in their Internet Addiction Test scores from pre‐ to postintervention, and overall, participants did not show an increase in the time spent engaged in their selected alternative activities. These findings demonstrate that social media use is amenable to behavioral treatment.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
495.
Social Media Guidelines for Anatomists Hennessy, Catherine M.; Royer, Danielle F.; Meyer, Amanda J. ...
Anatomical sciences education,
July/August 2020, Volume:
13, Issue:
4
Journal Article
Peer reviewed
Open access
Social Media has changed the way that individuals interact with each other ‐ it has brought considerable benefits, yet also some challenges. Social media in anatomy has enabled anatomists all over ...the world to engage, interact and form new collaborations that otherwise would not have been possible. In a relatively small discipline where individuals may be working as the only anatomist in an institution, having such a virtual community can be important. Social media is also being used as a means for anatomists to communicate with the current generation of students as well as members of the public. Posting appropriate content is one of the challenges raised by social media use in anatomy. Human cadaveric material is frequently shared on social media and there is divided opinion among anatomists on whether or not such content is appropriate. This article explores the uses and challenges of social media use in the field of anatomy and outlines guidelines on how social media can be used by anatomists globally, while maintaining professional and ethical standards. Creating global guidelines has shown to be difficult due to the differences in international law for the use of human tissue and also the irregularities in acquiring informed consent for capturing and sharing cadaveric images. These nuances may explain why cadaveric images are frequently shared on social media. This article proposes that as standard practice, anatomists obtain informed consent from donors before sharing images of cadaveric material on social media and ensure posts include a statement stating the same.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
The COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit.
The aim ...of this study is to leverage natural language processing (NLP) with the goal of characterizing changes in 15 of the world's largest mental health support groups (eg, r/schizophrenia, r/SuicideWatch, r/Depression) found on the website Reddit, along with 11 non-mental health groups (eg, r/PersonalFinance, r/conspiracy) during the initial stage of the pandemic.
We created and released the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyzed trends from 90 text-derived features such as sentiment analysis, personal pronouns, and semantic categories. Using supervised machine learning, we classified posts into their respective support groups and interpreted important features to understand how different problems manifest in language. We applied unsupervised methods such as topic modeling and unsupervised clustering to uncover concerns throughout Reddit before and during the pandemic.
We found that the r/HealthAnxiety forum showed spikes in posts about COVID-19 early on in January, approximately 2 months before other support groups started posting about the pandemic. There were many features that significantly increased during COVID-19 for specific groups including the categories "economic stress," "isolation," and "home," while others such as "motion" significantly decreased. We found that support groups related to attention-deficit/hyperactivity disorder, eating disorders, and anxiety showed the most negative semantic change during the pandemic out of all mental health groups. Health anxiety emerged as a general theme across Reddit through independent supervised and unsupervised machine learning analyses. For instance, we provide evidence that the concerns of a diverse set of individuals are converging in this unique moment of history; we discovered that the more users posted about COVID-19, the more linguistically similar (less distant) the mental health support groups became to r/HealthAnxiety (ρ=-0.96, P<.001). Using unsupervised clustering, we found the suicidality and loneliness clusters more than doubled in the number of posts during the pandemic. Specifically, the support groups for borderline personality disorder and posttraumatic stress disorder became significantly associated with the suicidality cluster. Furthermore, clusters surrounding self-harm and entertainment emerged.
By using a broad set of NLP techniques and analyzing a baseline of prepandemic posts, we uncovered patterns of how specific mental health problems manifest in language, identified at-risk users, and revealed the distribution of concerns across Reddit, which could help provide better resources to its millions of users. We then demonstrated that textual analysis is sensitive to uncover mental health complaints as they appear in real time, identifying vulnerable groups and alarming themes during COVID-19, and thus may have utility during the ongoing pandemic and other world-changing events such as elections and protests.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
•This study explored whether and how internal social media influences employee engagement.•An online survey was conducted with 1150 employees in the US that had adopted internal social media.•Results ...showed that employees’ use of internal social media contributed to an enhanced level of perceived transparency of the organization and organizational identification.•Perceived organizational transparency and employee organizational identification, in turn, both positively influenced employee engagement.
This study explores whether and how internal social media influences employee engagement, a top priority for those working in public relations. Specifically, it proposes and tests a conceptual model that links employee use of internal social media, perceived organizational transparency, and organizational identification, to employee engagement. Through an online survey of 1150 employees from various organizations in the United States that had adopted internal social media, results show that employees’ use of internal social media contributes to an enhanced level of perceived transparency of the organization and organizational identification, which in turn, leads to employee engagement. Theoretical and practical implications of the findings are discussed.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
•Awareness of paid endorsement is correlated with ad recognition, which is correlated with purchase and eWOM intentions.•Awareness of paid endorsement is correlated with influencer-follower ...relationship, which is associated with purchase and eWOM intentions.•However, ad recognition does not affect influencer-follower relationship.•Disclosure of paid endorsement enhances followers' perceptions of influencer’s openness and transparency.•Perceptions of influencer's openness and transparency could positively affect influencer-follower relationships, and behavioral outcomes.
This study aimed to examine the effects of awareness of paid endorsements by social media influencers on followers’ cognitive persuasion knowledge (ad recognition), attitudinal persuasion knowledge (relationships with the influencer), and behavioral intentions, specifically eWOM intention and purchase intention. Employing an online survey (N = 269), this study found that awareness of paid endorsement relates to ad recognition, which is correlated with purchase and eWOM intentions. We also found that awareness of paid endorsement is correlated with influencer-follower relationship, which is associated with purchase and eWOM intentions. However, ad recognition does not affect influencer-follower relationship. Implications for public relations theory, practice, and policy are discussed.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Streaming media platform opens new ways for celebrity endorsement. Based on the researches related to celebrity endorsement and match-up hypothesis, this study explores the influences of various ...matches on the consumer attitudes within the context of live streaming shopping with internet celebrities in China. Results suggest that product-source fit affects the perceived source attractiveness and trustworthiness, while product-content fit affects utilitarian and hedonic attitude toward the content. Source trustworthiness, hedonic attitude and self-product fit increased the intention to buy. This study develops and tests an integrative model of internet celebrity endorsement by investigating congruence effects on live streaming viewers.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
The use of social media as a recruitment tool for research with humans is increasing, and likely to continue to grow. Despite this, to date there has been no specific regulatory guidance and there ...has been little in the bioethics literature to guide investigators and institutional review boards (IRBs) faced with navigating the ethical issues such use raises. We begin to fill this gap by first defending a nonexceptionalist methodology for assessing social media recruitment; second, examining respect for privacy and investigator transparency as key norms governing social media recruitment; and, finally, analyzing three relatively novel aspects of social media recruitment: (i) the ethical significance of compliance with website "terms of use"; (ii) the ethics of recruiting from the online networks of research participants; and (iii) the ethical implications of online communication from and between participants. Two checklists aimed at guiding investigators and IRBs through the ethical issues are included as appendices.
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DOBA, IJS, IZUM, KILJ, NUK, OILJ, PILJ, PNG, PRFLJ, SAZU, UILJ, UKNU, UL, UM, UPUK, VSZLJ