How Twitter is changing the meaning of scholarly impact and engagement: Implications for qualitative social work research

2018 ◽  
Vol 19 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Victoria F Burns ◽  
Anne Blumenthal ◽  
Kathleen C Sitter
Keyword(s):  
Social Media ◽  
Social Work ◽  
Social Issues ◽  
Public Realm ◽  
Knowledge Mobilization ◽  
Social Work Research ◽  
The Public ◽  
Media Technologies ◽  
Scholarly Impact ◽  
Perspective Drawing

Social media technologies continue to change the academic landscape. Twitter has become particularly popular in research arenas including social work and is being used for fieldwork, knowledge mobilization activities, advocacy, and professional networking. Although there has been some consideration of the benefits and risks of using social media in academia, little has been written from a qualitative social work perspective. Drawing on the example of Twitter, this article redresses this gap in the literature, by exploring how social media is changing the way research is conducted and promoted in relation to (1) measuring scholarly impact via altmetrics; (2) engaging with research participants; (3) networking and making collegial connections; and (4) advocating for social issues in the public realm. As we highlight tensions in each of these four areas, a key concern is how and for whom social media is contributing to the changing meaning of scholarly impact and engagement in research communities. We draw specific attention to how the inequalities that exist in academia writ large may be amplified on social media thus affecting overall engagement and perceived impact for researchers from marginalized social locations (e.g. gender, race, sexual orientation). We conclude by discussing specific implications of using social media in qualitative social work research and provide suggestions for future areas of inquiry.

Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ahmad Mir ◽  
Sevukan Rathinam ◽  
Sumeer Gul
Keyword(s):  
Social Media ◽  
Public Perception ◽  
English Language ◽  
Social Issues ◽  
Application Programming Interface ◽  
Content Type ◽  
The Public ◽  
Public Reaction ◽  
Types Of Information ◽  
The Impact

PurposeTwitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.Design/methodology/approachTo fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.FindingsA gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.Research limitations/implicationsThe main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.Practical implicationsThe study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.Originality/valueThe paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

Strange Frame Fellows: The Evolution of Discursive Framing in the Opt-Out Testing Movement

2021 ◽  
Vol 123 (5) ◽  
pp. 1-32 ◽  
Author(s):  
Richard Paquin Morel
Keyword(s):  
Social Media ◽  
Public Schools ◽  
Social Issues ◽  
Qualitative Content Analysis ◽  
Research Question ◽  
The Public ◽  
Local Schools ◽  
Opt Out ◽  
Open Coding ◽  
Over Time

Background/context In recent years, opposition to accountability policies and associated testing has manifested in widespread boycotts of annual tests—mobilized as the “opt-out movement.” A central challenge facing any movement is the need to recruit and mobilize participants. Key to this process is framing—a discursive tactic in which activists present social issues as problems that require collective action to solve. Such framing often relies on compatible political and ideological commitments among activists and potential recruits. Yet the opt-out movement has successfully mobilized widespread boycotts in diverse communities. How have participants in the movement framed issues relating to testing and accountability? Purpose/objective/research question/focus of study I explore the discursive tactics of participants in the opt-out movement by analyzing how they frame issues related to testing and accountability over time. I ask two research questions: (1) What frames did participants in opt-out-aligned social media groups use to convince others that standardized accountability tests are a problem and build support for the movement? (2) To what extent and how did the deployment of frames change over time? Research design I conducted a mixed-methods study combining qualitative content analysis to identify frames and computational analysis to describe their co-deployment over time. Data collection and analysis I compiled a text corpus of posts to opt-out-aligned social media pages from 2010–2014. I analyzed posts using open coding to identify frames used by participants in online communities. Frames were categorized by their orientation—the general way in which they framed the problem of testing and accountability. I then analyzed the co-deployment of frames using network analysis and hierarchical clustering. Conclusions/recommendations The longitudinal analysis of frames reveals key differences in the frames used by participants. While more politically oriented frames—those characterizing testing as a social issue affecting the public schools at large—were common in early stages of the movement, less overtly political frames—those characterizing testing as an individual issue affecting children and local schools or a technical issue—became more prominent over time. Over time, socially oriented frames became decoupled from other frames, showing independent patterns of deployment. This suggests that the movement may have benefited from de-emphasizing politically oriented frames, but that it lacked an overarching shared narrative, which has the potential to limit how it might affect accountability policies and testing.

No people like #showpeople : Broadway performers' ethnographic social media

2015 ◽  
Author(s):  
◽  
Jennifer Spitulnik
Keyword(s):  
Social Media ◽  
Global Economy ◽  
Musical Theater ◽  
Public Spaces ◽  
The Public ◽  
Media Technologies ◽  
Broadway Musical ◽  
Online Social Media ◽  
Group I ◽  
Multiple Audiences

The occupational folk group of Broadway musical theater performers uses folklore in public spaces as a kind of representational strategy for the group as a whole. This strategy is significant in representing the group’s identity to itself as well as to outsiders who are invested in knowing more about them, such as Broadway enthusiasts. That is, the group can and does tell the story of itself, representing itself ethnographically, by way of its individual members. Social media technologies provide a platform for Broadway performers to present these native ethnographies both to the public and to other members of the folk group. I argue that these native, self-conscious ethnographic works by musical theater performers are both concerned with representing themselves as individuals, and with representing the cultural group of musical theater performers as a whole. Exploring the folklore and folk identities performed by members of this group in online social media suggests new ways of understanding the politics and practices of ethnography, particularly on social network sites in our postmodern global economy of attention. In this project, the first in any field to consider musical theater performers as a cultural or folk group, I investigate actors’ recognition of and group use of vernacular creative expressionsâ€"folkloreâ€"as a representational strategy. Through this work, I explore the ways in which self-representation on the part of the ethnographic participants claims voice and authority for the group, while simultaneously performing group membership and identity for multiple audiences.

scholarly journals Data science for social work practice

2018 ◽  
Vol 11 (3) ◽  
pp. 205979911881439 ◽  
Author(s):  
Oscar Cariceo ◽  
Murali Nair ◽  
Jay Lytton
Keyword(s):  
Social Work ◽  
Data Science ◽  
Social Issues ◽  
Work Practice ◽  
Social Work Practice ◽  
Machine Learning Techniques ◽  
Social Work Research ◽  
Data Driven Decisions ◽  
Social Work Interventions ◽  
Key Terms

Data science is merging of several techniques that include statistics, computer programming, hacking skills, and a solid expertise in specific fields, among others. This approach represents opportunities for social work research and intervention. Thus, practitioners can take advantage of data science methods and reach new standards for quality performances at different practice levels. This article addresses key terms of data science as a new set of methodologies, tools, and technologies, and discusses machine learning techniques in order to identify new skills and methodologies to support social work interventions and evidence-based practice. The challenge related to data sciences application on social work practice is the shift on the focus of interventions. Data science supports data-driven decisions to predict social issues, rather than providing an understanding of reasons for social problems. This can be both a limitation and an opportunity depending on context and needs of users and professionals.

Digital Diplomacy: Emotion and Identity in the Public Realm

2019 ◽  
Vol 14 (1-2) ◽  
pp. 102-116 ◽  
Author(s):  
Constance Duncombe
Keyword(s):  
Social Media ◽  
Public Diplomacy ◽  
Diplomatic Relations ◽  
Public Realm ◽  
State Identity ◽  
The Public ◽  
Future Challenges ◽  
Social Media Platforms ◽  
Digital Diplomacy

Summary Public diplomacy is increasingly facilitated through social media. Government leaders and diplomats are using social media platforms such as Twitter, Facebook and Instagram to communicate with foreign publics, changing the dynamics of interaction between broadcaster and audience. The key to understanding the power of social media in public diplomacy is the role of emotion in digital diplomacy strategies: social media statements relating to state identity can incite strong emotions that have the potential to undermine heretofore positive diplomatic relations, or provide communicative openings that move towards ameliorating crises. Examining the interaction of social media, emotion and identity provides insight into the increasing importance of digital diplomacy and the future challenges relating to digital disinformation that lie ahead.

scholarly journals Public Voice via Social Media: Role in Cooperative Governance during Public Health Emergency

2020 ◽  
Vol 17 (18) ◽  
pp. 6840 ◽  
Author(s):  
Yang Yang ◽  
Yingying Su
Keyword(s):  
Public Health ◽  
Social Media ◽  
Product Innovation ◽  
Social Issues ◽  
Voice Behavior ◽  
The Public ◽  
Public Health Emergencies ◽  
Policy Evolution ◽  
Public Voice ◽  
Cooperative Governance

With the development of the Internet, social networking sites have empowered the public to directly express their views about social issues and hence contribute to social change. As a new type of voice behavior, public voice on social media has aroused wide concern among scholars. However, why public voice is expressed and how it influences social development and betterment in times of public health emergencies remains unstudied. A key point is whether governments can take effective countermeasures when faced with public health emergencies. In such situation, public voice is of great significance in the formulation and implementation of coping policies. This qualitive study uses China’s Health Code policy under COVID-19 to explore why the public performs voice behavior on social media and how this influences policy evolution and product innovation through cooperative governance. A stimulus-cognition-emotion-behavior model is established to explain public voice, indicating that it is influenced by cognitive processes and public emotions under policy stimulus. What is more, as a form of public participation in cooperative governance, public voice plays a significant role in promoting policy evolution and product innovation, and represents a useful form of cooperation with governments and enterprises to jointly maintain social stability under public health emergencies

Framing the Challenges of Online Violent Extremism

2016 ◽  
pp. 226-259 ◽  
Author(s):  
Geoff Dean
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
General Framework ◽  
Data Retention ◽  
The Public ◽  
Media Technologies ◽  
Conceptual Frame ◽  
Digital Era ◽  
Violent Extremism ◽  
Political Realities

This chapter argues that ‘framing' the challenges posed by radicalised individuals ‘online' where the path to violent extremism is just a click away, is as much about getting the framing right as it is about getting the operational plans right. A general framework based on 4 P's (Policing-Public-Policies-Politics) is proposed as the conceptual ‘frame' for combating violent extremism. The metaphor of a compass is used to examine this 4P's framework from the perspective of knowledge management. The key notions of ‘violent extremism', ‘radicalisation' and ‘digital era' are deconstructed before presenting a neurocognitive-based model of ‘self-indoctrination' by those who ‘inspire' a violently extreme narrative through social media technologies using the ‘dark net' of cyberspace. Law enforcement's use of communication interception technologies and data retention laws is critically examined. The chapter concludes with operational implications for Policing the Public with Policy tools in the context of Political realities.

scholarly journals Australian Social Work Research: An Empirical Study of Engagement and Impact

2020 ◽  
Author(s):  
Clare Tilbury ◽  
Christine Bigby ◽  
Mike Fisher ◽  
Mark Hughes
Keyword(s):  
Social Work ◽  
Social Issues ◽  
Academic Research ◽  
Research Impact ◽  
End Users ◽  
Policy And Practice ◽  
Academic Impact ◽  
Social Work Research

Abstract Internationally, non-academic research impact is assessed by governments as part of evaluating the quality of publicly funded research. A case study method was used to investigate the non-academic impact of Australian social work research. Interviews were conducted with fifteen leading researchers about outputs (research products, such as publications and reports), engagement (interaction between researchers and end-users outside academia to transfer knowledge, methods or resources) and impact (social or economic contributions of research). Twelve case studies were prepared using a standardised template. Content analysis highlighted examples of impact, and theoretical and in vivo coding uncovered processes of engagement and impact. Different types of engagements with research end-users influenced impact in three areas: legislation and policy; practices and service delivery; and quality of life of community members. Engagement and impact were intertwined as research altered policy discourses and illuminated hidden social issues, preparing ground for subsequent, more direct impact. Likewise, academic and non-academic impacts were intertwined as research rigour and academic credibility were perceived to leverage influence. There was no evidence of achieving impact simply through the trickle-down effect of scholarly publication. The findings broaden understandings of how research influences policy and practice and iterative and indirect relationships between engagement and impact.

scholarly journals Mobile Medienpraktiken im Spannungsfeld von Öffentlichkeit, Privatheit und Anonymität

2019 ◽  
Vol 2 (2) ◽  
pp. 1-27
Author(s):  
Katharina König ◽  
Florence Oloff
Keyword(s):  
Social Media ◽  
Media Studies ◽  
Media Use ◽  
Public Realm ◽  
Mobile Media ◽  
The Public ◽  
Media Research ◽  
Technical Features ◽  
Research Studies

This contribution aims to describe privacy, publicness and anonymity as essential dimensions for doing media linguistics. These dimensions are not inherent in and predetermined by the technical features and forms of communication, but are used by the participants as an orientation grid for shaping their online and offline practices in and with mobile media. Considering both mobile media use in the public realm and the dissemination of increasingly private content in social media (which is said to lead to ‘blurred boundaries’ between the private and the public), this paper provides a brief overview of the main developments in mobile media research. Studies adopting various approaches – e.g. sociological-ethnographic, linguistic and media studies – illustrate how privacy, publicness and anonymity are actively shaped and brought about by mobile media users. These observations indicate that the concepts of privacy and publicness have not lost their meaning but media linguistics should study the emergence of new multimodal practices by which they are framed and accomplished.  

Sign in / Sign up

Export Citation Format

Share Document