scholarly journals Restricted modes: Social media, content classification and LGBTQ sexual citizenship

2020 ◽  
pp. 146144482090436
Author(s):  
Clare Southerton ◽  
Daniel Marshall ◽  
Peter Aggleton ◽  
Mary Lou Rasmussen ◽  
Rob Cover

In the context of recent controversies surrounding the censorship of lesbian, gay, bisexual, transgender and queer online content, specifically on YouTube and Tumblr, we interrogate the relationship between normative understandings of sexual citizenship and the content classification regimes. We argue that these content classification systems and the platforms’ responses to public criticism both operate as norm-producing technologies, in which the complexities of sexuality and desire are obscured in order to cultivate notions of a ‘good’ lesbian, gay, bisexual, transgender or queer sexual citizen. However, despite normative work of classification seeking to distinguish between sexuality and sex, we argue that the high-profile failures of these classification systems create the conditions for users to draw attention to, rather than firm, these messy boundaries.

2019 ◽  
Vol 59 (8) ◽  
pp. 1413-1429 ◽  
Author(s):  
Ursula Scholl-Grissemann ◽  
Mike Peters ◽  
Karin Teichmann

The Web 2.0 has significantly changed how consumers plan for and book trips. For example, online content showing climate-induced, unfavorable conditions at a destination might influence overall attitudes toward that destination. Two experimental studies confirm that when consumers learn of unfavorable conditions in a destination (e.g., snow deficiency) through online content, they develop more realistic travel expectations and ultimately more positive attitudes toward the destination, compared with when they review online content that ignores the unfavorable conditions. In addition, user-generated content influences the mediating effect of realistic expectations on the relationship between climate-induced, unfavorable conditions at a destination and attitudes toward the destination, whereas DMO-generated content does not. Implications underline the importance of realistic destination marketing communication strategies. The study contributes to the understanding of consumer response to realistic social media content in tourism.


2020 ◽  
Vol 21 (3) ◽  
pp. 55-58
Author(s):  
Megan D. Graewingholt

VoxGov is a cutting-edge discovery platform for finding and analyzing government information, encompassing a vast collection of official documents, legislative information, and social media content all in one place. This comprehensive resource engages researchers in fresh and dynamic ways, provides superior analytical features, and surpasses comparable products in the value and diversity of its content. For scholars, legal experts and the general public alike, the growing importance of examining the social media footprint generated by the executive branch, government agencies and legislators cannot be understated. Given the massive output and changing nature of government web presences, VoxGov is well-timed aggregator of ephemeral online content, and delivers a powerful research experience for exploring official government information in the digital age.


2021 ◽  
Vol 18 (6) ◽  
Author(s):  
Jean Wnuk

Principles of accessibility are not limited to physical spaces (such as stairs or curbs) – the same principles apply to online content, including social media sites. If you are using social media as a channel to distribute your research and content, the following are reasons why your social media content should be made accessible: It is easy to do and the right thing to do; This will increase access of your research to people with disabilities; You will be abiding by Title III of the Americans with Disabilities Act (ADA). In this tip sheet we share with you five simple ways to make your social media posts as widely accessible as possible.


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):  
Tamara A. Small ◽  
Kate Puddister

AbstractJournalists routinely live-tweet high-profile criminal trials, a practice that raises questions about access to justice and the principle of open court. Does social media open up the justice system? There is a normative debate in the literature about the use of Twitter and social media in the courtroom. This paper takes on this debate by exploring the relationship between digital technologies and criminal justice. Through a systematic examination of journalists’ tweets during two key trials (Ghomeshi and Saretzky), we ask to what extent can the live-tweeting of court proceedings achieve greater access to justice in Canada? We argue that while the live-tweeting does provide more access to court, potentially furthering the principle of open court, the nature of this access provides little in the way of increased engagement with the public and its understanding of the legal system. This paper makes contributions to both the legal studies and digital politics literatures.


2020 ◽  
Author(s):  
Gideon Nave ◽  
Jason Rentfrow ◽  
Sudeep Bhatia

The proliferation of media streaming services has increased the volume of personalized video consumption, allowing marketers to reach massive audiences and deliver a range of customized content at scale. However, relatively little is known about how consumers’ psychological makeup is manifested in their media preferences. The present paper addresses this gap in a preregistered study of the relationship between movie plots, quantified via user-generated keywords, and the aggregate personality profiles of those who “like” them on social media. We find that movie plots can be used to accurately predict aggregate fans’ personalities, above and beyond the demographic characteristics of fans, and general film characteristics such as quality, popularity, and genre. Further analysis reveals various associations between the movies’ psychological themes and their fans’ personalities, indicating congruence between the two. For example, films with keywords related to anxiety are liked more among people who are high in Neuroticism and low in Extraversion. In contrast, angry and violent movies are liked more by people who are low in Agreeableness. Our findings provide a fine-grained mapping between personality dimensions and preferences for media content, and demonstrate how these links can be leveraged for assessing audience psychographics at scale.


Author(s):  
Mohamed MohamedAlhadi Suliman, Elsir Ahmed Suliman

The study aims to investigate the relationship between the styles of dealing with social media content and personality Five-Factor the Sudanese psychologist. The researchers used a style of dealing with social media, and the Five-Factor Inventory Costa & McCrae. The researchers applied the tools to a sample of 300 (males and females) Sudanese psychologist. The collected data analyzed statistically by SPSS. The results showed positive styles of Sudanese psychologist dealing with social media content and showed high levels of positive of the Sudanese psychologist, and showed a significant relationship between styles of dealing with social media and (Extraversion, Conscientiousness) of the Sudanese psychologist, and no significant relationship between styles of dealing with social media and (Neuroticism, Extraversion, Openness to Experience, Agreeableness, sex, age, social media). Finally, the researchers gave some recommendations depending on the research results.


2019 ◽  
pp. 089443931987569 ◽  
Author(s):  
Frederick G. Conrad ◽  
Johann A. Gagnon-Bartsch ◽  
Robyn A. Ferg ◽  
Michael F. Schober ◽  
Josh Pasek ◽  
...  

There is interest in using social media content to supplement or even substitute for survey data. In one of the first studies to test the feasibility of this idea, O’Connor, Balasubramanyan, Routledge, and Smith report reasonably high correlations between the sentiment of tweets containing the word “jobs” and survey-based measures of consumer confidence in 2008–2009. Other researchers report a similar relationship through 2011, but after that time it is no longer observed, suggesting such tweets may not be as promising an alternative to survey responses as originally hoped. But, it’s possible that with the right analytic techniques, the sentiment of “jobs” tweets might still be an acceptable alternative. To explore this, we first classify “jobs” tweets into categories whose content is either related to employment or not, to see whether sentiment of the former correlates more highly with a survey-based measure of consumer sentiment. We then compare the relationship when sentiment is determined with traditional dictionary-based methods versus newer machine learning-based tools developed for Twitter-like texts. We calculated daily sentiment in three different ways and used a measure of association less sensitive to outliers than correlation. None of these approaches improved the size of the relationship in the original or more recent data. We found that the many micro-decisions these analyses require, such as the size of the smoothing interval and the length of the lag between the two series, can significantly affect the outcomes. In the end, despite the earlier promise of tweets as an alternative to survey responses, we find no evidence that the original relationship in these data was more than a chance occurrence.


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