Learning Analytics Dashboard for Twitter
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This poster presents a prototype Learning Analytics (LA) dashboard to help educators who use Twitter in their teaching. The system summarizes and visualizes information how online learners contribute to Twitter-based discussions by asking questions, sharing resources, and engaging with others. Suggested citation: Gruzd, A. & Conroy, N. (2018). Learning Analytics Dashboard for Twitter. Poster presented at the BayLan Learning Analytics Conference, February 24, 2018, San Francisco, CA, USA.
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Keynote for the 2021 Workshop on Deviant Activities on Social Media, part of the IEEE Big Data 2021 conference.
The Role of Open Access & Social Media in Knowledge Mobilization and Discovery
The Role of Open Access & Social Media in Knowledge Mobilization and DiscoveryToronto Metropolitan University
Ideas that seem obvious today, at one point were obscure facts known only to a select few. The health benefits of washing hands, wearing a seatbelt while in a car - none of these ideas and practices were accepted immediately. In addition to needing time to incubate, new ideas also need to be accessible so that they can be tested, debated, and built upon. This presentation, which is based on my previous research and personal experiences, will highlight the importance and connection between open access publishing and the role of social media in promotion and dissemination of scholarly research. Examining toxic interactions and political engagement on Twitter
Video presentation at https://www.youtube.com/watch?v=SGTCMzLAbn8
-------------------------------
The goal of this exploratory study was to better understand the online dynamics of violence on Twitter against candidates running for political offices. Online violence on online platforms is a pressing problem. This study will provide research-based evidence for policymakers, governing stakeholders, researchers, and social media intermediaries working to address current knowledge gaps and challenges associated with toxic interactions on platforms like Twitter. It will also help examine the capabilities and overall effectiveness of Twitter’s platform-based guardianship (i.e., automated and human-led content moderation).
Who is Influencing the #GDPR Discussion on Twitter: Implications for Public ...
Who is Influencing the #GDPR Discussion on Twitter: Implications for Public ...Toronto Metropolitan University
Abstract:
On May 25, 2018, the European Union (EU) implemented the General Data Protection Regulation (GDPR) to protect individuals’ privacy and data. This regulation has far-reaching implications as it applies to any organization that deals with data of EU residents. By studying the discussion about this regulation on Twitter, our goal is to examine public opinions and organizational public relations (PR) strategies about GDPR. The results show that the regulation is being actively discussed by a variety of stakeholders, but especially by cybersecurity and IT-related firms and consultants. At the same time, some of the stakeholders that were expected to have a more active role were less involved, including companies that store or process personal data, government and regulatory bodies, mainstream media, and academics. The results also show that the stakeholders mostly have one-way rather than two-way communication with their audiences, thus fulfilling the rhetorical than relational function of PR.
Full paper at http://hdl.handle.net/10125/64061
#FakeNews Travels Fast — How Social Bots and Trolls Are Reshaping Public Debates
#FakeNews Travels Fast — How Social Bots and Trolls Are Reshaping Public DebatesToronto Metropolitan University
Molding public opinion is as old as politics. In recent years, as more and more Canadians are spending their time online, the process and methods used to influence public opinions have undergone some major changes. Most recently, these include the emergence of social bots and troll armies designed to shape public discourse. Their impact was felt in 2016 during the U.S. presidential election and the UK Brexit referendum. In both cases, social media platforms have emerged as an important avenue for disinformation operations and misinformation campaigns. Enabled by bots, trolls, and algorithm-driven filter bubbles, the weaponization of social media is undermining and weakening public trust in government institutions across the globe and threatening the future of democracy.
Join us at the next TRSM Dean’s Speaker Series as we dive into the fascinating world of political bots and trolls in Canada with Dr. Anatoliy Gruzd, Director of Research at Ryerson University Social Media Lab at TRSM. Dr. Gruzd will show how his lab uses publicly available social media data to show how misinformation spreads through online social networks on sites like Twitter and Facebook and recent discoveries about how bots and trolls are being injected into the conversation during the 2019 campaign. The event will be moderated by Tom Clark, Chairman, Global Public Affairs.
Bios:
Anatoliy Gruzd, PhD is a Canada Research Chair and Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab in Toronto, Canada. He is also a founding co-editor of a multidisciplinary journal on Big Data and Society. His work explores the inner workings of online communities, studying how people and organizations adapt to social media in various domains, and examining tensions between privacy and self-disclosure on social media networks.
Tom Clark joined Global after almost 45 years at the most senior levels of Canadian journalism. Tom left Global News on January 1, 2017, after serving as the network’s chief political correspondent and host of The West Block. He has interviewed every Canadian Prime Minister since Lester B. Pearson and has covered every federal election campaign since 1974. He has reported in eight active war zones and from over 33 countries. Tom was CTV’s China Bureau Chief and was also its Chief Washington Correspondent for five years. He has a deep understanding of Canada’s position in an increasingly complicated international dynamic. Tom is the recipient of Radio Television Digital News Association lifetime achievement award and has been named one of the most influential journalists in Ottawa.Research & Teaching in the Social Media Age
The talk is given as part of the 2019 Worldviews conference at the panel on "Digital technology’s impact on how media and higher education communicate".
Social Media for Informal Learning: a Case of #Twitterstorians
Citation: Kumar, P., & Gruzd, A. (2019). Social Media for Informal Learning: a Case of #Twitterstorians. In Proceedings of HICSS. Retrieved from http://scholarspace.manoa.hawaii.edu/handle/10125/59691
Abstract:
Open, online environments like social media are now a mainstay of life-long informal learning. Social media like Twitter help people gather information, share resources, and discuss with other participant-learners with similar interests. This paper seeks to test and validate the ‘learning in the wild’ coding schema in the context of discussions on Twitter, an approach first developed for studying learning communities on Reddit. The schema considers how participant-learners are leveraging social media to facilitate self-directed informal learning practices, exploratory dialogue, and communicative exchanges. We apply the coding schema on a sample of tweets (n=594) from the History Twittersphere community (#Twitterstorians) to provide a more nuanced understanding of the different kinds of discursive practices, resource exchanges, and ideas being shared and communicated outside traditional classroom settings.
The State of Social Media Research After Cambridge Analytica
Social media data is a rich source of behavioural data that can reveal how we connect and interact with each other online in real time and over time, and what that might mean for our society as we continue to speed towards an increasingly computer-mediated future. However, much of the data being collected are being used in ways that are not always transparent to the users. Also once collected, the data can be combined with other types of data and analyzed by algorithms to reveal even more sensitive information about the users. As a result, questions around why and how data consumers’ use social media data are becoming pertinent, especially in the aftermath of the Facebook’s Cambridge Analytica scandal. This talk will discuss privacy and ethical implications of working with social media data.
Roundtable: Social Media Users' Privacy Expectations & the Ethics of Using Th...
Roundtable: Social Media Users' Privacy Expectations & the Ethics of Using Th...Toronto Metropolitan University
Roundtable at the 2018 AoIR conference.
Anatoliy Gruzd, Jenna Jacobson, Ryerson University, Canada
Jacquelyn Burkell, Western University
Joanne McNeish, Ryerson University
Anabel Quan-Haase, Western University
Abstract
The transnational flows of information across nations and borders make it difficult to introduce and implement privacy-preserving policies relating to social media data. Social media data are a rich source of behavioural data that can reveal how we connect and interact with each other online in real time. Furthermore, the materiality of new digital intermediaries (such as the Internet of Things, AI, and algorithms) raises additional anticipated and unanticipated privacy challenges that need to be addressed as we continue to speed towards an increasingly digitally-mediated future.
A by-product of the large-scale social media adoption is social media data mining; publicly available social media data is largely free and legally available to be mined, analyzed, and used (Kennedy 2016) for whatever purposes by third parties. Researchers have begun to suggest that ethics need to be considered even if the data is public (boyd & Crawford 2012).
In the wake of the EU's recent legislation of the General Data Protection Regulation and the Right to be Forgotten, as well as increasing critical attention around the world, the roundtable will discuss how to navigate the transnational and material, as well as the complex and competing, interests associated with using social media, including ethics, privacy, security, and intellectual property rights. By balancing people's individual rights to exercise autonomy over "their" data and the societal benefits of using and analyzing the data for insights, the roundtable aims to generate theoretically-rich discussion and debate with internet researchers about the ethics, privacy, and best practices of using social media data.From 13 Reasons Why to Suicide Watch: Reddit Discussions about the Controvers...
From 13 Reasons Why to Suicide Watch: Reddit Discussions about the Controvers...Toronto Metropolitan University
The poster presented at the 2018 International Conference on Social Media & Society (Copenhagen, Denmark, July 18-20, 2018).Introduction to Social Network Analysis
This workshop will introduce some of the main principles and techniques of Social Network Analysis (SNA). We will use examples from organizational and social media-based networks to understand concepts such as network density, diameter, centrality measures, community detection algorithms, etc. The session will also introduce Gephi, a popular program for SNA. Gephi is a free and open-source tool that is available for both Mac and PC computers.
By the end of the session, you will develop a general understanding of what SNA is, what research questions it can help you answer, and how it can be applied to your own research. You will also learn how to use Gephi to visualize and examine networks using various layout and community detection algorithms.
Instructor’s Bio: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab. Anatoliy is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists; a co-editor of a multidisciplinary journal on Big Data and Society; and a founding co-chair of the International Conference on Social Media and Society. His research initiatives explore how social media platforms are changing the ways in which people and organizations communicate, collaborate and disseminate information and how these changes impact the norms and structures of modern society.
Altmetrics: Listening & Giving Voice to Ideas with Social Media Data
This document summarizes a presentation on altmetrics and social media data. It discusses how social media is being used in scholarly communication, providing examples of academics using blogs, wikis and other sites. It also explores emerging altmetric data sources like Twitter, benefits of social media use, and who discusses research online. The document then examines altmetric data providers, aggregators and metrics, addressing challenges around coverage, normalization and social bots. It argues for more research on improving altmetrics methodology.
You're Hired: Examining Acceptance of Social Media Screening of Job Applicants
You're Hired: Examining Acceptance of Social Media Screening of Job ApplicantsToronto Metropolitan University
§ Gruzd, A., Jacobson, J., Dubois, E. (2017). You’re Hired: Examining Acceptance of Social Media Screening of Job Applicants. In Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), August 10-12, 2017, Boston, MA, USA.
Available at http://aisel.aisnet.org/amcis2017/DataScience/Presentations/28/
Abstract:
The paper examines attitudes towards employers using social media to screen job applicants. In an online survey of 454 participants, we compare the comfort level with this practice in relation to different types of information that can be gathered from publicly accessible social media. The results revealed a nuanced nature of people’s information privacy expectations in the context of hiring practices. People’s perceptions of employers using social media to screen job applicants depends on (1) whether or not they are currently seeking employment (or plan to), (2) the type of information that is being accessed by a prospective em-ployer (if there are on the job market), and (3) their cultural background, but not gender. The findings emphasize the need for employers and recruiters who are relying on social media to screen job applicants to be aware of the types of information that may be perceived to be more sensitive by applicants, such as social network-related information.Studying Online & Offline Communities through the Prism of Social Media Data
Studying Online & Offline Communities through the Prism of Social Media DataToronto Metropolitan University
Keynote at the Second International Symposium on Spatiotemporal Computing (ISSC 2017), August 7th – 9th, 2017 at Harvard University, Cambridge, MassachusettsExamining Sentiments and Popularity of Pro- and Anti-Vaccination Videos on Yo...
Examining Sentiments and Popularity of Pro- and Anti-Vaccination Videos on Yo...Toronto Metropolitan University
Abul-Fottouh, D., Song, M. Y., & Gruzd, A. (2020). Examining algorithmic biases in YouTube’s recommendations of vaccine videos. International Journal of Medical Informatics, 104175.
Read our follow-up study at https://doi.org/10.1016/j.ijmedinf.2020.104175
=================================
Song, M.Y. & Gruzd, A. (2017). Examining Sentiments and Popularity of Pro- and Anti-Vaccination Videos on YouTube. In Proceedings of the 8th International Conference on Social Media & Society (#SMSociety17). ACM, New York, NY, USA, Article 17, 8 pages. DOI: https://doi.org/10.1145/3097286.3097303Social media data stewardship: The ethics of social media data use for research
Social media data stewardship: The ethics of social media data use for researchToronto Metropolitan University
Panel presented as part of the 2017 Data Power Conference (Ottawa, ON, June 23, 2017)
Anatoliy Gruzd (@gruzd), Jenna Jacobson (@jacobsonjenna), Priya Kumar (@link_priya), Philip Mai (@phmai)
Social listening: how to do it and how to use (SNA Perspective)
Anatoliy Gruzd and Philip Mai
Workshop presented at the TTRA Annual International Conference in Quebec City (June 20, 2017)
https://2017ttraannualinternationalconfe.sched.com/event/9yCg/social-listening-how-to-do-it-and-how-to-use-it-veille-sociale-comment-faire-et-comment-lutiliser?iframe=no&w=100%&sidebar=no&bg=no
Predicting what gets ‘Likes’ on Facebook: case study of BlogTO
Social media is now the place where people are gathering en masse to discuss the news with their friends, neighbors and complete strangers. This change in news consumers’ behavior is proving to be a challenge for local news, but it is also an opportunity. Users and system generated data from social media can also be a boon for content creators. This presentation will feature a case study showing how publishers can use social media analytics to gain insights into their audience and how to use this information to foster a stronger sense of community around their brand of journalism. The case study will focus on how to use Netlytic, a cloud-based social media analytics tool, to mine the public Facebook interactions of the readers of BlogTO, a regional, Canadian-based media outlet, to find out what their readers are interested in and what engages them.
Sampling and recruiting on Facebook
With the rise of new media and social media, a new era of big data has emerged, which has brought about various methodological and theoretical challenges for conducting social research. With over a billion daily active users, Facebook is widely recognized as the leading social media platform in the world. Beyond the use of Facebook to connect people from around the world, Facebook affords various opportunities for academics to conduct research. In this presentation, we will discuss our approach to integrate Facebook data as part of an online survey to study people’s privacy concerns, with a particular focus on methodological challenges associated with sampling and recruiting participants on Facebook.
Sampling: Considering, there is no easy searchable directory of Facebook Groups or Pages, how do researchers identify and sample Facebook Groups or Pages? Problematically, it is difficult to systematically sample across Facebook to get a “representative” sample of Facebook users. Facebook Group Directory, algorithmically-filtered search, and custom-curated directories can be used to sample; however, each approach introduces biases and challenges.
Recruitment: After the selection of the Group/Page of study, how can researchers invite people to participate in the study? Facebook’s Terms of Service does not allow contacting users directly unless you have conducted “business” with them. We outline the various options for recruitment, including buying an ad, posting directly to the group/page, and contacting the moderator.
Ethics: As more Canadians are joining and contributing to Facebook, their automatically recorded data are rapidly becoming available to third parties to mine for both commercial and academic purposes. Ethical questions need to be considered throughout the entire research process. This is particularly true of social media research, which presents unique ethical and personal considerations. In this part of the presentation, we will outline the Social API Terms of Service online guide created by the Social Media Lab at Ryerson University that Internet researchers can use to learn what they can or cannot do with social media collected from sites like Facebook.
The presentation will conclude with the discussion of our plans to develop a unique Facebook app that will allow any Facebook user to review their publicly available social media data and participate in our survey on Social Media Privacy Concerns.
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