scholarly journals Towards Tracking Opium Related Discussions in Social Media

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Albert Park ◽  
Mike Conway
Keyword(s):  
Social Media ◽  
Application Programming Interface ◽  
Time Frame ◽  
Frequency Count ◽  
Normalized Frequency ◽  
Knowledge Based ◽  
Automated Method ◽  
Media Platform ◽  
Use Of Social Media ◽  
Frequency Counts

ObjectiveWe aim to develop an automated method to track opium relateddiscussions that are made in the social media platform calledReddit.As a first step towards this goal, we use a keyword-based approach totrack how often Reddit members discuss opium related issues.IntroductionIn recent years, the use of social media has increased at anunprecedented rate. For example, the popular social media platformReddit (http://www.reddit.com) had 83 billion page views from over88,000 active sub-communities (subreddits) in 2015. Members ofReddit made over 73 million individual posts and over 725 millionassociated comments in the same year [1].We use Reddit to track opium related discussions, because Redditallows for throwaway and unidentifiable accounts that are suitable forstigmatized discussions that may not be appropriate for identifiableaccounts. Reddit members exchange conversation via a forum likeplatform, and members who have achieved a certain status withinthe community are able to create new topically focused group calledsubreddits.MethodsFirst, we use a dataset archived by one of Reddit members who usedReddit’s official Application Programming Interface (API) to collectthe data (https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/). The dataset iscomprised of 239,772 (including both active and inactive) subreddits,13,213,173 unique user IDs, 114,320,798 posts, and 1,659,361,605associated comments that are made from Oct of 2007 to May of 2015.Second, we identify 10 terms that are associated with opium. Theterms are ‘opium’, ‘opioid’, ‘morphine’, ‘opiate’,’ hydrocodone’,‘oxycodone’, ‘fentanyl’, ‘oxy’, ‘heroin’, ‘methadone’. Third, wepreprocess the entire dataset, which includes structuring the data intomonthly time frame, converting text to lower cases, and stemmingkeywords and text. Fourth, we employed a dictionary approachto count and extract timestamps, user IDs, posts, and commentscontaining opium related terms. Fifth, we normalized the frequencycount by dividing the frequency count by the overall number of therespective variable for that period.ResultsAccording to our dataset, Reddit members discuss opium relatedtopics in social media. The normalized frequency count of postersshows that less than one percent members, on average, talk aboutopium related topics (Figure 1). Although the community as a wholedoes not frequently talk about opium related issues, this still amountsto more than 10,000 members in 2015 (Figure 2). Moreover, membersof Reddit created a number of subreddits, such as ‘oxycontin’,‘opioid’, ‘heroin’, ‘oxycodon’, that explicitly focus on opioids.ConclusionsWe present preliminary findings on developing an automatedmethod to track opium related discussions in Reddit. Our initialresults suggest that on the basis of our analysis of Reddit, members ofthe Reddit community discuss opium related issues in social media,although the discussions are contributed by a small fraction of themembers.We provide several interesting directions to future work to bettertrack opium related discussions in Reddit. First, the automated methodneeds to be further developed to employ more sophisticated methodslike knowledge-based and corpus-based approaches to better extractopium related discussions. Second, the automated method needs tobe thoroughly evaluated and measure precision, recall, accuracy, andF1-score of the system. Third, given how many members use socialmedia to discuss these issues, it will be helpful to investigate thespecifics of their discussions.Line Graphs of normalized frequency counts for posters, comments, and poststhat contained opium related termsLine Graphs of raw frequency counts for posters, comments, and posts thatcontained opium related terms

Social Media as Mirror of Society

2017 ◽  
pp. 128-141
Author(s):  
Amir Manzoor
Keyword(s):  
Social Media ◽  
Application Programming Interface ◽  
Social Media Data ◽  
Social Media Platform ◽  
Application Programming ◽  
Media Platform ◽  
Use Of Social Media ◽  
Media Data ◽  
Programming Interface ◽  
Specific Reason

Over the last decade, social media use has gained much attention of scholarly researchers. One specific reason of this interest is the use of social media for communication; a trend that is gaining tremendous popularity. Every social media platform has developed its own set of application programming interface (API). Through these APIs, the data available on a particular social media platform can be accessed. However, the data available is limited and it is difficult to ascertain the possible conclusions that can be drawn about society on the basis of this data. This chapter explores the ways social researchers and scientists can use social media data to support their research and analysis.

scholarly journals #GERIATRICS: A 7-YEAR TWITTER ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S176-S176
Author(s):  
Brenna M Parker ◽  
Megan Walker ◽  
Jeanette Ross
Keyword(s):  
Social Media ◽  
Time Frame ◽  
Data Set ◽  
Medical Specialties ◽  
Short Text ◽  
Social Media Platforms ◽  
Media Platform ◽  
Twitter Users ◽  
Use Of Social Media ◽  
International Boundaries

Abstract The use of social media platforms as an educational tool to promote awareness has become increasingly popular as technology advances. Twitter is a microblogging, social media platform in which users share short, text-based posts (“tweets”) that can contain hyperlinked articles, web-pages, pictures, and more. 79% of the 336 million current monthly twitter users are international, suggesting Twitter serves as a tool allowing international connection via the rapid spread of information worldwide. Simplur Signals (Simplur LLC) was used to perform a retrospective analysis of the use of #Geriatrics on Twitter. Data was collected from Oct. 13th, 2010 through Jun. 5th, 2018. Spam and unknown accounts were excluded from the data set before analysis. Manual analysis was performed to qualitatively assess tweet content of the top 200 Retweets by Impressions. A total of 65,002 tweets were shared during the selected time frame. Tweet activity rose to a high in Year 5 (17,206) but has declined since. The majority of the top 100 influencers were doctors (57.4%). Regarding tweet content, most discussions focus on increasing awareness and promoting advocacy (30%) as well as sharing research related to the practice of geriatrics (23.5%). With its widespread use and lack of international boundaries, Twitter serves as an effective platform in informing and increasing awareness about geriatrics and other medical specialties.

scholarly journals Medieøkologien i SKAM

2017 ◽  
Vol 6 (2) ◽  
pp. 60-66
Author(s):  
Ruth Grüters ◽  
Knut Ove Eliassen
Keyword(s):  
Social Media ◽  
New Media ◽  
Historical Perspective ◽  
18Th Century ◽  
Media Ecology ◽  
The Other ◽  
Media Platform ◽  
The Media ◽  
Use Of Social Media ◽  
Media Practices

AbstractTo understand the success of SKAM, the series’ innovative use of “social media” must be taken into consideration. The article follows two lines of argument, one diachronic, the other synchronic. The concept of remediation allows for a historical perspective that places the series in a longer tradition of “real time”-fictions and media practices that span from the epistolary novels of the 18th century by way of radio theatre and television serials to the new media of the 21st century. Framing the series within the current media ecology (marked by the connectivity logic of “social media”), the authors analyze how the choice of the blog as the drama’s media platform has formed the ways the series succeeded in affecting and mobilizing its audience. Given the long tradition of strong pedagogical premises in the teenager serials of publicly financed Norwegian television, the authors note the absence of any explicit media critical perspectives or didacticism. Nevertheless, the claim is that the media-practices of the series, as well as the actions and discourses of its followers (blogposts, facebook-groups, etc.), generate new insights and knowledge with regards to the series’ form, content, and practices.

scholarly journals An Automated Method To Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource (Preprint)

2020 ◽  
Author(s):  
Mohammed Ibrahim ◽  
Susan Gauch ◽  
Omar Salman ◽  
Mohammed Alqahatani
Keyword(s):  
Social Media ◽  
Ground Truth ◽  
Consumer Health ◽  
Word Embeddings ◽  
Relative Improvement ◽  
Lexical Resource ◽  
Automated Method ◽  
Medical Terms ◽  
Media Platform ◽  
Novel Algorithms

BACKGROUND Clear language makes communication easier between any two parties. A layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical jargon which can lead to poor understanding of their condition and/or treatment. To bridge this gap, several professional vocabularies and ontologies have been created to map laymen medical terms to professional medical terms and vice versa. OBJECTIVE Many of the presented vocabularies are built manually or semi-automatically requiring large investments of time and human effort and consequently the slow growth of these vocabularies. In this paper, we present an automatic method to enrich laymen's vocabularies that has the benefit of being able to be applied to vocabularies in any domain. METHODS Our entirely automatic approach uses machine learning, specifically Global Vectors for Word Embeddings (GloVe), on a corpus collected from a social media healthcare platform to extend and enhance consumer health vocabularies (CHV). Our approach further improves the CHV by incorporating synonyms and hyponyms from the WordNet ontology. The basic GloVe and our novel algorithms incorporating WordNet were evaluated using two laymen datasets from the National Library of Medicine (NLM), Open-Access Consumer Health Vocabulary (OAC CHV) and MedlinePlus Healthcare Vocabulary. RESULTS The results show that GloVe was able to find new laymen terms with an F-score of 48.44%. Furthermore, our enhanced GloVe approach outperformed basic GloVe with an average F-score of 61%, a relative improvement of 25%. CONCLUSIONS This paper presents an automatic approach to enrich consumer health vocabularies using the GloVe word embeddings and an auxiliary lexical source, WordNet. Our approach was evaluated used a healthcare text downloaded from MedHelp.org, a healthcare social media platform using two standard laymen vocabularies, OAC CHV, and MedlinePlus. We used the WordNet ontology to expand the healthcare corpus by including synonyms, hyponyms, and hypernyms for each CHV layman term occurrence in the corpus. Given a seed term selected from a concept in the ontology, we measured our algorithms’ ability to automatically extract synonyms for those terms that appeared in the ground truth concept. We found that enhanced GloVe outperformed GloVe with a relative improvement of 25% in the F-score.

scholarly journals Social media and democracy: How the Facebook usage patterns of Toronto city councilors influence political engagement

2021 ◽  
Author(s):  
Christian Campbell
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Political Engagement ◽  
Small Communities ◽  
Political Actors ◽  
The Public ◽  
Usage Patterns ◽  
Media Platform ◽  
Use Of Social Media ◽  
National Governments

In the early days of the Internet, many political communication theorists held the utopian belief that political actors would use online tools to communicate directly with members of the public, and thereby bolster political engagement and enrich democracy. Unfortunately, studies over the past two decades found that political websites were not usually used to interact directly with the public, but instead were used to simply disseminate information in a one-way information-sharing model. However, the emergence of social media sites presents political actors with the opportunity to interact with the public far more easily than websites had previously allowed. Given the widespread adoption and high usage rates of social media sites, these online resources could potentially open up a space for public discussion about politics and allow political actors to interact directly with members of the public. Literature indicates that this type of shared space is conducive to the kind of civic mindset that leads to higher rates of political engagement. Research on political uses of social media tends to focus on the use of social media engagement. Research on political uses of social media tends to focus on the use of social media within elections, such as the 2008 U.S presidential election, and on the use of social media by national governments. I have chosen instead to examine how a group of municipal councilors in Toronto, Ontario uses social media. These politicians have the greatest need to interact directly with individuals throughout their term of service because municipal councilors are expected to know the members of their ward far more intimately than federal, or even provincial, politicians. My study focuses on the use of Facebook because literature indicates that it is the most political social media platform and that it presents politicians with the greatest opportunity to foster political engagement online. Through analysis of the Facebook pages of Toronto city councilors this study examines the degree to which councilors use Facebook to engage their followers, whether certain citizens are consistently engaged in ongoing political discussions, and whether small communities of politically engaged citizens develop around the Facebook profiles of councilors.

#OrthoTwitter: social media as an educational tool

2020 ◽  
pp. bmjstel-2020-000630
Author(s):  
Muhammad Arham Sahu ◽  
Zahrah Goolam-Mahomed ◽  
Simon Fleming ◽  
Usman Ahmed
Keyword(s):  
Social Media ◽  
Clinical Education ◽  
Orthopedic Surgery ◽  
Orthopaedic Surgery ◽  
Online Community ◽  
Educational Tool ◽  
Social Media Platform ◽  
Orthopaedic Surgeons ◽  
Media Platform ◽  
Use Of Social Media

AimsThe increased use of social media creates opportunity for new, effective methods of delivering medical and clinical education. Twitter is a popular social media platform where users can post frequent updates and create threads containing related content using hashtags. This study aims to investigate and analyse the type of content relating to orthopaedic surgery that is being posted on the platform of Twitter.MethodsA retrospective search was performed for tweets containing the words ‘orthopaedic surgery’ or ‘orthopedic surgery’ or the use of the hashtag ‘#OrthoTwitter’ between November 2018 to November 2019. A total of 5243 tweets were included.ResultsTweets containing ‘orthopaedic surgery’ or ‘orthopedic surgery’ most frequently contained promotional or marketing content (30% promotional, 21% marketing), and private organisations were the category of author to which the greatest number of tweets belonged (30%). Tweets containing educational or research content were the least common among all tweets containing ‘orthopaedic surgery’ or ‘orthopedic surgery’ (11%). In contrast, of the tweets containing the hashtag ‘#OrthoTwitter’, 44% contained educational or research content, 15% contained promotional content and no tweets containing marketing content. Furthermore, 87% of all tweets using the hashtag ‘#OrthoTwitter’ were from orthopaedic surgeons, and the least number of tweets were from private organisations (2%).ConclusionTwitter is a widely used social media platform regarding orthopaedic surgery. We propose that the hashtag ‘#OrthoTwitter’ can be used to create an online community of orthopaedic surgeons where members can assist one another through sharing reliable and educational content.

scholarly journals Risk Perceptions on Social Media Use in Norway

2020 ◽  
Vol 12 (12) ◽  
pp. 211
Author(s):  
Philip Nyblom ◽  
Gaute Wangen ◽  
Vasileios Gkioulos
Keyword(s):  
Social Media ◽  
Risk Perceptions ◽  
Total N ◽  
Risk Ranking ◽  
Norwegian Population ◽  
The Social ◽  
Usage Patterns ◽  
Social Media Platforms ◽  
Media Platform ◽  
Use Of Social Media

Social media are getting more and more ingrained into everybody’s lives. With people’s more substantial presence on social media, threat actors exploit the platforms and the information that people share there to deploy and execute various types of attacks. This paper focuses on the Norwegian population, exploring how people perceive risks arising from the use of social media, focusing on the analysis of specific indicators such as age, sexes and differences among the users of distinct social media platforms. For data collection, a questionnaire was structured and deployed towards the users of multiple social media platforms (total n = 329). The analysis compares risk perceptions of using the social media platforms Facebook (n = 288), Twitter (n = 134), Reddit (n = 189) and Snapchat (n = 267). Furthermore, the paper analyses the differences between the sexes and between the digital natives and non-natives. Our sample also includes sufferers of ID theft (n = 50). We analyse how account compromise occurs and how suffering ID theft changes behaviour and perception. The results show significant discrepancies in the risk perception among the social media platform users across the examined indicators, but also explicit variations on how this affects the associated usage patterns. Based on the results, we propose a generic risk ranking of social media platforms, activities, sharing and a threat model for SoMe users. The results show the lack of a unified perception of risk on social media, indicating the need for targeted security awareness enhancement mechanisms focusing on this topic.

The Impact of Social Media Platforms “Instagram” and “Snapchat” on the Purchasing Decision - Structural Equation Modelling Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 72-94
Author(s):  
Eman Ali Alghamdi ◽  
Naima Bogari
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Positive Impact ◽  
Young Female ◽  
Equation Modeling ◽  
Purchasing Decision ◽  
Social Media Platforms ◽  
Media Platform ◽  
Use Of Social Media ◽  
The Impact

Social media (SM) tools have an immense potential in e-marketing and online shopping. However, there is a lack of researches on the use of social media platform as effective marketing tools. This study has aimed to investigate the revolution of social media in Saudi Arabia through understanding the impact of two popular SM platforms (Instagram and Snapchat) on the purchasing decision of Saudi customers through advertisements and blogger recommendations. Structural equation modeling (SEM) was used to develop a model, which was tested using Confirmatory factor analysis (CFA). The results indicated a positive impact of social media platforms on the purchasing decision of young female users. Moreover, the effectiveness of these platforms in generating electronic-word of mouth (eWOM) among consumers was highlighted. However, further research is needed to promote marketeers and consumers' awareness in the digital marketplace.

scholarly journals Exploration of Teaching Preferences of Instructors’use of Social Media

2016 ◽  
Vol 19 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Selcan Kilis ◽  
Yasemin Gülbahar ◽  
Christian Rapp
Keyword(s):  
Social Media ◽  
Quantitative Data ◽  
Descriptive Study ◽  
Alternative Methods ◽  
Online Environment ◽  
Social Media Platform ◽  
Media Platform ◽  
Social Media Tools ◽  
Teaching Preferences ◽  
Use Of Social Media

Abstract With the excessive use of social media in the 21st century, attempts to integrate social media within higher education have also increased. In this area, research has been particularly focused on the aspects of students, rather than the instructors. This study puts the emphasis on the instructors with the aim to explore their use of social media in educational settings. Their respective teaching preferences were explored, from a pedagogical perspective, with the help of a Social Media Toolkit. The toolkit was developed to guide instructors that want to integrate social media in their teaching. This study was designed as a descriptive study and quantitative data was collected from 583 instructors from 39 countries. The participants responded to four main questions in an online environment. Results revealed that instructors mostly prefer to teach their subject at the applying and understanding levels. They frequently use text-based materials and design their courses as problem-based or on a presentation model. They mostly prefer to assess students using alternative methods based on their performance, like portfolios, group works, etc. whilst classical methods were also preferred. Overall findings indicated that any instructor from any discipline or culture can transform courses onto a social media platform thanks to many different and varied features provided by social media tools.

scholarly journals A Systematic Review of the Use of Social Media for Recruitment of Participants in Nutrition, Obesity, and Physical Activity Related Studies

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 120-120
Author(s):  
Malik Ellington ◽  
Jeneene Connelly ◽  
Priscilla Clayton ◽  
Christina Collazo-Velazquez ◽  
Yaisli Lorenzo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Online Survey ◽  
Age Groups ◽  
Traditional Methods ◽  
Social Media Platform ◽  
Media Platform ◽  
Use Of Social Media ◽  
Reported Data ◽  
Printed Word

Abstract Objectives To analyze the effectiveness of social media for recruitment compared to traditional methods, to calculate an average impression/reach to participant recruitment ratio from social media, and to identify the social media platforms most effective in recruiting study participants. Methods Studies within any date of publication were identified from 5 databases and included if any social media platform was used for the recruitment of participants of all age groups and if studies were linked to nutrition, obesity and physical activity. Studies without results on number of participants recruited using social media or those targeting participants with chronic conditions were excluded. Results 173 total studies were identified, 54 were duplicates, 61 were removed after initial screening and another 34 were removed after full text review; resulting in 24 studies included in this review. Among studies using both traditional (printed, word of mouth, etc) and social media methods for recruitment, average recruitment was 54% from traditional methods compared to 40% from social media. A total of 14 studies reported data on recruitment cost with an average of $33 per participant (range $0–$258). Average participants recruited via social media to an “in-person” interventional study was 128 (range 8–426), to participate in an online survey 2,739 (range 63–17,069), and for other online delivered interventions 349 (range 3–1242). Regarding advertisement (ad) reach and interaction, 18 studies that reported results showed that 0.73% of those reached by study ads were enrolled and 30.7% of those that interacted with ads were enrolled. The most frequent social media platform used for recruitment was Facebook (97%), followed by Twitter (17%), and Instagram (4%). Conclusions Among studies using both traditional methods and social media, there were less people recruited using social media. While social media was able to reach more potential participants, only one third of those who interacted with ads were enrolled. Many of the studies only required participants to respond to a survey; therefore, more research is needed to identify the effectiveness of using social media for recruiting participants for studies that require a more intense participation. Funding Sources National Institutes of Health – Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Sign in / Sign up

Export Citation Format

Share Document