“The most inspiring bikini photos you’ll see this summer”: A thematic analysis of mass audiences’ interpretations of ostomy selfies

How people with ostomies—a surgically created opening in the body that expels bodily wastes—use social media to challenge ostomy stigma represents a growing area of research, especially the creation, posting, and circulation of ostomy selfies within online health communities. This project contributes to this research by examining reactions by a mass audience to news stories about a viral ostomy selfie posted by ostomate Bethany Townsend to a Crohn’s disease Facebook page. By analyzing the user-generated comments associated with this news coverage, this study illuminates how ostomy selfies are interpreted outside the highly sympathetic audiences that populate online health communities. Analysis reveals positive and negative reactions, posted by ostomates and non-ostomates alike, coexist within the comments. Implications of the conflicting reactions to ostomies, in general, and ostomy selfies, in particular, are discussed with regard to the effort to destigmatize ostomies in society.

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Mecha-Media

Rapid Automation ◽

10.4018/978-1-5225-8060-7.ch002 ◽

2019 ◽

pp. 12-30 ◽

Cited By ~ 2

Author(s):

Roger Andre Søraa

Keyword(s):

Social Media ◽

Empirical Research ◽

News Coverage ◽

Theoretical Framework ◽

Media Analysis ◽

Social Media Analysis ◽

The Public ◽

News Stories ◽

The Media ◽

Robotic Technologies

How are robots, androids and cyborgs presented and received in the media? This chapter applies a social media analysis to this question by using empirical research on news stories that feature robotic technologies to see how robots are presented, consider what reporters focus on when writing about robots, and review how the public discusses and receives robots. The theoretical framework utilised focuses on how robot narratives are framed, how robot controversies are presented in different media, and how robots are domesticated through the media. The two main cases are a “robot hotel” in Japan, and a “killer robot” at a Volkswagen factory in Germany. News coverage of both stories shows widely differing ways for how the robot-narrative is framed.

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Social Media in Occupational Health Nursing: Helpful or Harmful?

Workplace Health & Safety ◽

10.1177/2165079920935779 ◽

2020 ◽

Vol 68 (9) ◽

pp. 408-414

Author(s):

Lee Anne Siegmund

Keyword(s):

Health Care ◽

Social Media ◽

Occupational Health ◽

Online Health Communities ◽

Information Awareness ◽

Health Studies ◽

Health Communities ◽

Health Nursing ◽

Use Of Social Media ◽

Privacy Breaches

Background: Social media, an online vehicle for communication and media sharing, is a growing phenomenon in many aspects of everyday life, including health care. We explored the ways occupational health nurses can use social media as a helpful resource as well as identified potential concerns associated with its use. Methods: A review of the literature was conducted between December 1, 2019, and April 10, 2020, using PubMed and Google Scholar. Key search terms included social media, social network, nurse or nursing, occupational health, and online health. Criteria for selection included studies with results on social media within health care, nursing, and/or occupational health. Studies were also included if the health effects of social media were addressed. Six additional studies that had been previously identified by hand searching were included. Findings: These findings support the use of social media in occupational health for encouraging participatory health care among employees. Occupational health nurses can also utilize social media for health information, online health communities, emergency communication, health education workshops, professional connections, and continuing education. However, awareness of safe social media practice is necessary due to the possibility of misinformation and privacy breaches. Conclusion/Application to Practice: Social media can be used for education and communication with employees and is a way to support employees with specific health conditions through participation in online health communities . Occupational health nurses can take advantage of the speed and accessibility of social media to reach large numbers of employees. It is also a useful tool for addressing many health concerns encountered by employees; however, careful sourcing of information, awareness of company policies, and other safe practices can help to ensure it is helpful and not harmful.

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Mecha-Media

Advances in Computational Intelligence and Robotics - Androids, Cyborgs, and Robots in Contemporary Culture and Society ◽

10.4018/978-1-5225-2973-6.ch004 ◽

2018 ◽

pp. 96-119

Author(s):

Roger Andre Søraa

Keyword(s):

Social Media ◽

Empirical Research ◽

News Coverage ◽

Theoretical Framework ◽

Media Analysis ◽

Social Media Analysis ◽

The Public ◽

News Stories ◽

The Media ◽

Robotic Technologies

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Social Media analytics for Pharmacovigilance of Anti-Epileptic Drugs (Preprint)

10.2196/preprints.33281 ◽

2021 ◽

Author(s):

Anwar ESMAIL

Keyword(s):

Social Media ◽

Proportional Reporting Ratio ◽

Social Media Analytics ◽

Seizure Freedom ◽

Consumer Health ◽

Online Health Communities ◽

Data Mining Algorithms ◽

Data Source ◽

Health Communities ◽

Mining Algorithms

UNSTRUCTURED Epilepsy is a common neurological disorder worldwide and Anti-Epileptic Drugs (AEDs) therapy is the cornerstone of its treatment. It has a laudable aim of achieving seizure freedom and minimal, if any, Adverse Drug Reactions (ADRs). Too often, AEDs treatment is a long-lasting journey, in which ADRs have a crucial role in its administration. Therefore, from pharmacovigilance perspective, the detection of the ADRs of AEDs is a task of utmost importance. Typically, it is accomplished by applying data mining algorithms to a relevant data from spontaneous reporting systems. Despite their wide adoption for pharmacovigilance, the passiveness and high under-reporting ratio associated with them have encouraged considering other data source such as electronic health databases and pharmaceutical databases. Social media is the most recent alternative data source with many promising potentials to overcome the shortcomings of the traditional ones. Although, in the literature, some attempts have investigated the validity and utility of social media for ADRs detection of different groups of drugs, none of them was dedicated to the ADRs of AEDs. Hence, this paper presents a novel investigation of the validity and utility of social media as an alternative data source for the ADRs detection of AEDs. To this end, a dataset of consumers' reviews from two online health communities have been collected. The dataset is preprocessed, the unigram, bigram, and trigram are generated, and the ADRs of each AED are extracted with the aid of consumer health vocabulary and ADRs lexicon. Three widely used measures, namely proportional reporting ratio, reporting odd ratio, and information component are used to measure the association between each ADR and AED. The results, lists of signaled ADRs for each AED, are validated against Side Effect Resource (SIDER), a widely used ADRs database, in terms of precision of the ADRs detection. The validation results, 73%-74%, indicate the validity of the online health communities for the detection of AEDs ADRs. Furthermore, the lists of signaled AEDs ADRs are analyzed to answer questions regarding the common ADRs for all AEDs and the mutual similarities between AEDs in terms of their signaled ADRs. The consistency of the drawn answers with the existing pharmaceutical knowledge suggests the utility of the online health communities' data for knowledge discovery tasks of AEDs.

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Tinted revolutions in prismatic news: Ideological influences in Greater China’s reporting on the role of social media in the Arab Uprisings

Journalism ◽

10.1177/1464884917735690 ◽

2017 ◽

Vol 19 (9-10) ◽

pp. 1471-1489

Author(s):

Y Roselyn Du

Keyword(s):

Social Media ◽

Hong Kong ◽

Media Coverage ◽

News Coverage ◽

Mainland China ◽

Greater China ◽

News Stories ◽

Arab Uprisings ◽

The Media

Social media is widely seen as playing a crucial role in the Arab Uprisings. This study compares news coverage in mainland China, Hong Kong, and Taiwan regarding social media in the Arab Uprisings. Content analysis of 162 news stories revealed that media in the three regions constructed their coverage within different frames, despite the events being geographically remote to the three Greater China regions and occurring in countries with which Greater China has little cultural, religious, ethnical, or economic connections. Overall, a clear pro-social-media pattern was found in Hong Kong and Taiwan media coverage, whereas in mainland China social media and the users involved in the Arab Uprisings were treated in the news in an obscured or unfavorable manner. Mainland China’s coverage was less likely to mention censorship of social media in the revolutions, whereas Hong Kong and Taiwan media frequently reported censorship and took a stance against it. Hong Kong and Taiwan media were also inclined to relate situations in the Arab Uprisings to mainland China. Such variations in the media coverage arguably are mainly due to ideological differences.

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Narrative Construction of Sexual Violence and Rape Online

International Journal for Crime Justice and Social Democracy ◽

10.5204/ijcjsd.v6i2.270 ◽

2017 ◽

Vol 6 (2) ◽

pp. 95-108 ◽

Cited By ~ 1

Author(s):

Victoria Nagy

Keyword(s):

Social Media ◽

Criminal Justice ◽

Sexual Violence ◽

Criminal Justice System ◽

Justice System ◽

Active Participation ◽

Narrative Construction ◽

News Stories ◽

The Creation

The increased active participation of individuals in the creation of sexual violence narratives online, as opposed to the previously passive consumption of news stories offline, could prove problematic in ensuring justice is served. Social media allows for circumvention of the criminal justice system in response to its perceived inadequacies. With the 24-hour news cycle, the ease with which media consumers can interact with the story as it breaks online, and the manner in which social media has been used by laypersons and secondary bystanders to target victims or perpetrators before a case ever makes it to court, raises questions about how narrative construction online possibly influences people’s beliefs and understandings about sexual violence and the effect this may have for the justice system.

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Social Media Analytics for Pharmacovigilance of Antiepileptic Drugs

Computational and Mathematical Methods in Medicine ◽

10.1155/2022/8965280 ◽

2022 ◽

Vol 2022 ◽

pp. 1-24

Author(s):

Anwar Ali Yahya ◽

Yousef Asiri ◽

Ibrahim Alyami

Keyword(s):

Social Media ◽

Spontaneous Reporting ◽

Data Sources ◽

Social Media Analytics ◽

Reporting Odds Ratio ◽

Seizure Freedom ◽

Online Health Communities ◽

Reporting Systems ◽

Data Source ◽

Health Communities

Epilepsy is a common neurological disorder worldwide and antiepileptic drug (AED) therapy is the cornerstone of its treatment. It has a laudable aim of achieving seizure freedom with minimal, if any, adverse drug reactions (ADRs). Too often, AED treatment is a long-lasting journey, in which ADRs have a crucial role in its administration. Therefore, from a pharmacovigilance perspective, detecting the ADRs of AEDs is a task of utmost importance. Typically, this task is accomplished by analyzing relevant data from spontaneous reporting systems. Despite their wide adoption for pharmacovigilance activities, the passiveness and high underreporting ratio associated with spontaneous reporting systems have encouraged the consideration of other data sources such as electronic health databases and pharmaceutical databases. Social media is the most recent alternative data source with many promising potentials to overcome the shortcomings of traditional data sources. Although in the literature some attempts have investigated the validity and utility of social media for ADR detection of different groups of drugs, none of them was dedicated to the ADRs of AEDs. Hence, this paper presents a novel investigation of the validity and utility of social media as an alternative data source for the detection of AED ADRs. To this end, a dataset of consumer reviews from two online health communities has been collected. The dataset is preprocessed; the unigram, bigram, and trigram are generated; and the ADRs of each AED are extracted with the aid of consumer health vocabulary and ADR lexicon. Three widely used measures, namely, proportional reporting ratio, reporting odds ratio, and information component, are used to measure the association between each ADR and AED. The resulting list of signaled ADRs for each AED is validated against a widely used ADR database, called Side Effect Resource, in terms of the precision of ADR detection. The validation results indicate the validity of online health community data for the detection of AED ADRs. Furthermore, the lists of signaled AED ADRs are analyzed to answer questions related to the common ADRs of AEDs and the similarities between AEDs in terms of their signaled ADRs. The consistency of the drawn answers with the existing pharmaceutical knowledge suggests the utility of the data from online health communities for AED-related knowledge discovery tasks.

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A Semantic Preprocessing Framework for Breaking News Detection to Support Future Drone Journalism Services

Future Internet ◽

10.3390/fi14010026 ◽

2022 ◽

Vol 14 (1) ◽

pp. 26

Author(s):

Michail Niarchos ◽

Marina Eirini Stamatiadou ◽

Charalampos Dimoulas ◽

Andreas Veglis ◽

Andreas Symeonidis

Keyword(s):

Social Media ◽

News Media ◽

News Coverage ◽

Data Retrieval ◽

Breaking News ◽

News Reporting ◽

News Stories ◽

Video Footage ◽

Media Organizations ◽

Definition Of

Nowadays, news coverage implies the existence of video footage and sound, from which arises the need for fast reflexes by media organizations. Social media and mobile journalists assist in fulfilling this requirement, but quick on-site presence is not always feasible. In the past few years, Unmanned Aerial Vehicles (UAVs), and specifically drones, have evolved to accessible recreational and business tools. Drones could help journalists and news organizations capture and share breaking news stories. Media corporations and individual professionals are waiting for the appropriate flight regulation and data handling framework to enable their usage to become widespread. Drone journalism services upgrade the usage of drones in day-to-day news reporting operations, offering multiple benefits. This paper proposes a system for operating an individual drone or a set of drones, aiming to mediate real-time breaking news coverage. Apart from the definition of the system requirements and the architecture design of the whole system, the current work focuses on data retrieval and the semantics preprocessing framework that will be the basis of the final implementation. The ultimate goal of this project is to implement a whole system that will utilize data retrieved from news media organizations, social media, and mobile journalists to provide alerts, geolocation inference, and flight planning.

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Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data

Yearbook of Medical Informatics ◽

10.1055/s-0039-1677918 ◽

2019 ◽

Vol 28 (01) ◽

pp. 208-217 ◽

Cited By ~ 9

Author(s):

Mike Conway ◽

Mengke Hu ◽

Wendy W. Chapman

Keyword(s):

Public Health ◽

Mental Health ◽

Machine Learning ◽

Social Media ◽

Natural Language Processing ◽

Language Processing ◽

Online Health Communities ◽

Machine Learning Methods ◽

Health Communities ◽

Health Applications

Objective: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications. Methods: We conducted a literature review of NLP research that utilised social media or online consumer-generated text for public health applications, focussing on the years 2016 to 2018. Papers were identified in several ways, including PubMed searches and the inspection of recent conference proceedings from the Association of Computational Linguistics (ACL), the Conference on Human Factors in Computing Systems (CHI), and the International AAAI (Association for the Advancement of Artificial Intelligence) Conference on Web and Social Media (ICWSM). Popular data sources included Twitter, Reddit, various online health communities, and Facebook. Results: In the recent past, communicable diseases (e.g., influenza, dengue) have been the focus of much social media-based NLP health research. However, mental health and substance use and abuse (including the use of tobacco, alcohol, marijuana, and opioids) have been the subject of an increasing volume of research in the 2016 - 2018 period. Associated with this trend, the use of lexicon-based methods remains popular given the availability of psychologically validated lexical resources suitable for mental health and substance abuse research. Finally, we found that in the period under review “modern" machine learning methods (i.e. deep neural-network-based methods), while increasing in popularity, remain less widely used than “classical" machine learning methods.

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New media, old paradigms: News representations of technology in adolescent sexual assault

Crime Media Culture An International Journal ◽

10.1177/1741659019873758 ◽

2019 ◽

Vol 16 (3) ◽

pp. 415-430

Author(s):

Anna Gjika

Keyword(s):

Social Media ◽

Sexual Assault ◽

New Media ◽

Digital Media ◽

Thematic Analysis ◽

News Coverage ◽

Media Portrayals ◽

Mainstream Media ◽

The Media ◽

Cautionary Tales

This study examines news coverage of the Steubenville, Audrie Pott and Daisy Coleman cases, three highly publicized instances of sexual assault featuring teens and the use of digital media to capture and distribute the incidents. Thematic analysis of 146 articles on the assaults was conducted to identify mainstream media portrayals of emerging technologies in relation to each sex crime, and the problem of sexual assault and rape culture, more broadly. Prevailing news themes in the reporting include technology as a model witness, evidence-gatherer and mobilizer, and threat. The focus on technology in these stories, I argue, detracts from considerations of the underlying sexual violence and its causes, and contributes to the media reframing the incidents as cautionary tales about youth and social media. My analysis also suggests the discourses about digital media in the coverage reinforce existing deterministic understandings of new media platforms, and reproduce risk and responsibilization narratives pertaining to youth, sexuality and technology.

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