How CEO Social Media Disclosure and Gender Affect Perceived CEO Attributes, Relationship Investment, and Engagement Intention

2020 ◽  
pp. 107769902094352 ◽  
Author(s):  
Cen April Yue ◽  
Yoo Jin Chung ◽  
Tom Kelleher ◽  
Amanda S. Bradshaw ◽  
Mary Ann Ferguson

How does a chief executive officer (CEO)’s social media content disclosure on Twitter affect perceived CEO attributes, relationship investment, and public engagement, and to what extent does the CEO’s gender (male vs. female) moderate how publics evaluate content disclosures? A 2 (CEO gender: male vs. female) × 4 (level of disclosure: 100% corporate vs. 70% corporate and 30% personal vs. 30% corporate and 70% personal vs. 100% personal disclosure) between-subject experimental design was used to address these questions with a random sample of 465 adult Twitter users in the United States. Results showed that posts that featured high personal disclosure did not increase the perceived likability or competence of the CEO. Nor did CEO gender impact these outcomes. However, CEO professional disclosure proved to be an effective means to gain high levels of perceived relationship investment from publics. Finally, publics may hold implicit gender bias in cognitive (i.e., perceived relationship investment) and behavioral evaluation (i.e., engagement intention) of a female CEO.

2019 ◽  
Vol 8 (2) ◽  
pp. 139-148
Author(s):  
Chris Kienke

Images about race, class and gender deeply affect our beliefs about what American values are and who gets to share and who does not get to share in those values. The continuing discussions about these issues filtered through social media, film and television in the United States is a dialogue that demands visual rendering. Realizing the depth of this conditioning is the first step. Critical next steps are examining which images are made available to the public and how to work with students who are developing their own voice.


2020 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Young Joon Lim ◽  
Jennifer Lemanski

This study examined recent virality of “Ok Boomer” in the United States. The term of Ok Boomer gained overnight momentum in the public sphere as the symbol of a generational war. While previous research has primarily examined racial and gender tensions, this study introduced a new phenomenon of the generational conflict between “Ok Boomers” and “Baby Boomers,” in which social media originated the term of Ok Boomer and traditional media diffused it with framed meaning. Diffusion of Innovation theory was used to better understand the path of how “Ok Boomer” as a catchphrase, hashtag, noun cluster or trend resulted in attracting a massive amount of media and public attention. Relying on Node XL, Google Trends, and Nexus Nexis for data gathering and analyses, this study categorized four themes for a word, or an idea as an innovation to be publicly acknowledged: collaboration of social media and traditional media, public figures’ involvement for debate; confrontational social issues, and media-framed agenda. In sum, this study argues the term of Ok Boomer symbolizes the advent of a generational war in society in line with the long-standing race and gender wars in the media coverage.


Author(s):  
Xueting Wang ◽  
Canruo Zou ◽  
Zidian Xie ◽  
Dongmei Li

Background: With the pandemic of COVID-19 and the release of related policies, discussions about the COVID-19 are widespread online. Social media becomes a reliable source for understanding public opinions toward this virus outbreak. Objective: This study aims to explore public opinions toward COVID-19 on social media by comparing the differences in sentiment changes and discussed topics between California and New York in the United States. Methods: A dataset with COVID-19-related Twitter posts was collected from March 5, 2020 to April 2, 2020 using Twitter streaming API. After removing any posts unrelated to COVID-19, as well as posts that contain promotion and commercial information, two individual datasets were created based on the geolocation tags with tweets, one containing tweets from California state and the other from New York state. Sentiment analysis was conducted to obtain the sentiment score for each COVID-19 tweet. Topic modeling was applied to identify top topics related to COVID-19. Results: While the number of COVID-19 cases increased more rapidly in New York than in California in March 2020, the number of tweets posted has a similar trend over time in both states. COVID-19 tweets from California had more negative sentiment scores than New York. There were some fluctuations in sentiment scores in both states over time, which might correlate with the policy changes and the severity of COVID-19 pandemic. The topic modeling results showed that the popular topics in both California and New York states are similar, with "protective measures" as the most prevalent topic associated with COVID-19 in both states. Conclusions: Twitter users from California had more negative sentiment scores towards COVID-19 than Twitter users from New York. The prevalent topics about COVID-19 discussed in both states were similar with some slight differences.


Subject Facebook regulation prospects. Significance Facebook’s chief executive Mark Zuckerberg spent ten hours before Congressional committees on April 10 and 11, fielding questions from concerns that Facebook’s byzantine privacy practices allowed information on 87 million people to be collected by political consultancy Cambridge Analytica to enabling Russian interference in elections in the United States. Zuckerberg signalled that the era of social media self-governance was over with an admission that the regulation of Facebook and other platforms was “inevitable”. Less clear is what such regulation will look like. Impacts The scandal is likely to set off an international debate on what governments should do to rein in platform overreach. Facebook’s practices will come under more severe scrutiny in Europe. US social media platforms will be vulnerable to European legislation on data protection, privacy, antitrust, content and taxes. Europe and the United States will diverge further on the regulation of 'Big Tech'.


First Monday ◽  
2014 ◽  
Author(s):  
Muhammad Adnan ◽  
Paul A. Longley ◽  
Shariq M. Khan

The penetration and use of social media services differs from city to city. This paper investigates the social dynamics of Twitter social media usage in three ethnically diverse cities — London, Paris, and New York City. We present a spatial analysis of Tweeting activity in the three cities, broken down by ethnicity and gender. We model the ethnic identity of Twitter users using their paired forenames and surnames. The geo–tagged Tweets provide an insight into the geography of their activity patterns across the three cities. The gender of each Twitter user is identified through classification of forenames, suggesting that, irrespective of the ethnic identity, the majority of Twitter users are male. Taken together, the results present a window on the activity patterns of different ethnic groups.


10.2196/17087 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e17087
Author(s):  
Yulin Hswen ◽  
Amanda Zhang ◽  
Kara C Sewalk ◽  
Gaurav Tuli ◽  
John S Brownstein ◽  
...  

Background Discrimination in the health care system contributes to worse health outcomes among lesbian, gay, bisexual, transgender, and queer (LGBTQ) patients. Objective The aim of this study is to examine disparities in patient experience among LGBTQ persons using social media data. Methods We collected patient experience data from Twitter from February 2013 to February 2017 in the United States. We compared the sentiment of patient experience tweets between Twitter users who self-identified as LGBTQ and non-LGBTQ. The effect of state-level partisan identity on patient experience sentiment and differences between LGBTQ users and non-LGBTQ users were analyzed. Results We observed lower (more negative) patient experience sentiment among 13,689 LGBTQ users compared to 1,362,395 non-LGBTQ users. Increasing state-level liberal political identification was associated with higher patient experience sentiment among all users but had stronger effects for LGBTQ users. Conclusions Our findings highlight that social media data can yield insights about patient experience for LGBTQ persons and suggest that a state-level sociopolitical environment influences patient experience for this group. Efforts are needed to reduce disparities in patient care for LGBTQ persons while taking into context the effect of the political climate on these inequities.


2019 ◽  
Vol 5 (3) ◽  
pp. 205630511986546 ◽  
Author(s):  
Xiaoyi Yuan ◽  
Ross J. Schuchard ◽  
Andrew T. Crooks

Many states in the United States allow a “belief exemption” for measles, mumps, and rubella (MMR) vaccines. People’s opinion on whether or not to take the vaccine can have direct consequences in public health. Social media has been one of the dominant communication channels for people to express their opinions of vaccination. Despite governmental organizations’ efforts of disseminating information of vaccination benefits, anti-vaccine sentiment is still gaining momentum. Studies have shown that bots on social media (i.e., social bots) can influence opinion trends by posting a substantial number of automated messages. The research presented here investigates the communication patterns of anti- and pro-vaccine users and the role of bots in Twitter by studying a retweet network related to MMR vaccine after the 2015 California Disneyland measles outbreak. We first classified the users into anti-vaccination, neutral to vaccination, and pro-vaccination groups using supervised machine learning. We discovered that pro- and anti-vaccine users retweet predominantly from their own opinion group. In addition, our bot analysis discovers that 1.45% of the corpus users were identified as likely bots which produced 4.59% of all tweets within our dataset. We further found that bots display hyper-social tendencies by initiating retweets at higher frequencies with users within the same opinion group. The article concludes that highly clustered anti-vaccine Twitter users make it difficult for health organizations to penetrate and counter opinionated information while social bots may be deepening this trend. We believe that these findings can be useful in developing strategies for health communication of vaccination.


2017 ◽  
Vol 12 (3) ◽  
pp. 162
Author(s):  
Elizabeth Margaret Stovold

A Review of: Swab, M., & Romme, K. (2016). Scholarly sharing via Twitter: #icanhazpdf requests for health sciences literature. Journal of the Canadian Health Libraries Association, 37(1), 6-11. http://dx.doi.org/10.5596/c16-009 Abstract Objective – To analyze article sharing requests for health sciences literature on Twitter, received through the #icanhazpdf protocol. Design – Social media content analysis. Setting – Twitter. Subjects – 302 tweets requesting health sciences articles with the #icanhazpdf tag. Methods – The authors used a subscription service called RowFeeder to collect public tweets posted with the hashtag #icanhazpdf between February and April 2015. Rowfeeder recorded the Twitter user name, location, date and time, URL, and content of the tweet. The authors excluded all retweets and then each reviewed one of two sets. They recorded the geographic region and affiliation of the requestor, whether the tweet was a request or comment, type of material requested, how the item was identified, and if the subject of the request was health or non-health. Health requests were further classified using the Scopus subject category of the journal. A journal could be classified with more than one category. Any uncertainties during the coding process were resolved by both authors reviewing the tweet and reaching a consensus. Main results – After excluding all the retweets and comments, 1079 tweets were coded as heath or non-health related. A final set of 302 health related requests were further analyzed. Almost all the requests were for journal articles (99%, n=300). The highest-ranking subject was medicine (64.9%, n=196), and the lowest was dentistry (0.3%, n=1). The most common article identifier was a link to the publisher’s website (50%, n=152), followed by a link to the PubMed record (22%, n=67). Articles were also identified by citation information (11%, n=32), DOI (5%, n=14), a direct request to an individual (3%, n=9), another method (2%, n=6), or multiple identifiers (7%, n=22). The majority of requests originated from the UK and Ireland (29.1%, n=88), the United States (26.5%, n=80), and the rest of Europe (19.2%, n=58. Many requests came from people with affiliations to an academic institution (45%, n=136). These included librarians (3.3%, n=10), students (13.6%, n=41), and academics (28.1%, n=85). When tweets of unknown affiliation were excluded (n=117), over 70% of the requests were from people with academic links. Other requesters included journalists, clinicians, non-profit organisations, patients, and industry employees. The authors examined comments in the tweets to gain some understanding of the reasons for seeking articles through #icanhazpdf, although this was not the primary focus of their study. A preliminary examination of the comments suggested that users value the ease, convenience, and the ability to connect with other researchers that social media offers. Conclusion – The authors concluded that the number of requests for health sciences literature through this channel is modest, but health librarians should be aware of #icanhazpdf as another method through which their users might seek to obtain articles. The authors recommend further research into the reasons why users sometimes choose social media over the library to obtain articles.


2015 ◽  
Vol 8 (4) ◽  
pp. 208
Author(s):  
Darren Botello-Samson

In late 2013, the Kansas Board of Regents proposed a social media policy, a policy which the board eventually unanimously approved. The policy authorized “the chief executive officer of a state university…to suspend, dismiss or terminate from employment any faculty or staff member who makes improper use of social media.” A strong and unified condemnation of the policy followed, led primarily by the faculty of those institutions and their various faculty governance organizations. This conflict between the free speech rights of academics and the governing authority of government and university administrations in the state of Kansas was neither the first nor last such conflict; U.S. courts had already established a doctrine over the free speech rights of public employees. Therefore, this conflict presents an opportunity to observe how the judicial establishment and definition of rights affects subsequent political conflict and discourse. The conflict over the social media policy adopted by the Kansas Board of Regents raises questions of whether the established judicial articulations of free speech in an academic setting shaped the efforts of Kansas faculty in opposition to this policy and the crafting of the policy itself.


2018 ◽  
Author(s):  
Tiffany Yi-Mei Cheng ◽  
Lisa Liu ◽  
Benjamin KP Woo

BACKGROUND Dementia is a prevalent disorder among adults and often subjects an individual and his or her family. Social media websites may serve as a platform to raise awareness for dementia and allow researchers to explore health-related data. OBJECTIVE The objective of this study was to utilize Twitter, a social media website, to examine the content and location of tweets containing the keyword “dementia” to better understand the reasons why individuals discuss dementia. We adopted an approach that analyzed user location, user category, and tweet content subcategories to classify large publicly available datasets. METHODS A total of 398 tweets were collected using the Twitter search application programming interface with the keyword “dementia,” circulated between January and February 2018. Twitter users were categorized into 4 categories: general public, health care field, advocacy organization, and public broadcasting. Tweets posted by “general public” users were further subcategorized into 5 categories: mental health advocate, affected persons, stigmatization, marketing, and other. Placement into the categories was done through thematic analysis. RESULTS A total of 398 tweets were written by 359 different screen names from 28 different countries. The largest number of Twitter users were from the United States and the United Kingdom. Within the United States, the largest number of users were from California and Texas. The majority (281/398, 70.6%) of Twitter users were categorized into the “general public” category. Content analysis of tweets from the “general public” category revealed stigmatization (113/281, 40.2%) and mental health advocacy (102/281, 36.3%) as the most common themes. Among tweets from California and Texas, California had more stigmatization tweets, while Texas had more mental health advocacy tweets. CONCLUSIONS Themes from the content of tweets highlight the mixture of the political climate and the supportive network present on Twitter. The ability to use Twitter to combat stigma and raise awareness of mental health indicates the benefits that can potentially be facilitated via the platform, but negative stigmatizing tweets may interfere with the effectiveness of this social support.


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