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Full-Text Articles in Library and Information Science

Automatic Categorization Of Lgbt User Profiles On Twitter With Machine Learning, Amir Karami, M. Lundy, F. Webb, H. R. Boyajieff, M. Zhu, D. Lee Jan 2021

Automatic Categorization Of Lgbt User Profiles On Twitter With Machine Learning, Amir Karami, M. Lundy, F. Webb, H. R. Boyajieff, M. Zhu, D. Lee

Faculty Publications

Privacy needs and stigma pose significant barriers to lesbian, gay, bisexual, and transgender (LGBT) people sharing information related to their identities in traditional settings and research methods such as surveys and interviews. Fortunately, social media facilitates people’s belonging to and exchanging information within online LGBT communities. Compared to heterosexual respondents, LGBT users are also more likely to have accounts on social media websites and access social media daily. However, the current relevant LGBT studies on social media are not efficient or assume that any accounts that utilize LGBT-related words in their profile belong to individuals who identify as LGBT. Our …


Analysis Of Geotagging Behavior: Do Geotagged Users Represent The Twitter Population?, Amir Karami, R. R. Kadari, L. Panati, H. Bheemreddy, B. Bozorgi Jan 2021

Analysis Of Geotagging Behavior: Do Geotagged Users Represent The Twitter Population?, Amir Karami, R. R. Kadari, L. Panati, H. Bheemreddy, B. Bozorgi

Faculty Publications

Twitter’s APIs are now the main data source for social media researchers. A large number of studies have utilized Twitter data for diverse research interests. Twitter users can share their precise real-time location, and Twitter APIs can provide this information as longitude and latitude. These geotagged Twitter data can help to study human activities and movements for different applications. Compared to the mostly small-scale data samples in different domains, such as social science, collecting geotagged data offers large samples. There is a fundamental question whether geotagged users can represent non-geotagged users. While some studies have investigated the question from different …


Analysis Of Social Media Discussions On (#)Diet By Blue, Red, And Swing States In The U.S, Amir Karami, A. A. Dahl, J. G. Shaw, S. P. Valappil, G. Turner-Mcgrievy, H. Kharrazi, P. Bozorgi Jan 2021

Analysis Of Social Media Discussions On (#)Diet By Blue, Red, And Swing States In The U.S, Amir Karami, A. A. Dahl, J. G. Shaw, S. P. Valappil, G. Turner-Mcgrievy, H. Kharrazi, P. Bozorgi

Faculty Publications

The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed …


Covid-19 Vaccine And Social Media In The U.S.: Exploring Emotions And Discussions On Twitter, Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi Jan 2021

Covid-19 Vaccine And Social Media In The U.S.: Exploring Emotions And Discussions On Twitter, Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi

Faculty Publications

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning …


“People Are Reading Your Work,": Scholarly Identity And Social Networking Sites, Marie L. Radford, Vanessa Kitzie, Stephanie Mikitish, Diana Floegel, Gary P. Radford, Lynn Silipigni Connaway Jan 2020

“People Are Reading Your Work,": Scholarly Identity And Social Networking Sites, Marie L. Radford, Vanessa Kitzie, Stephanie Mikitish, Diana Floegel, Gary P. Radford, Lynn Silipigni Connaway

Faculty Publications

Scholarly identity refers to endeavors by scholars to promote their reputation, work, and networks using online platforms such as ResearchGate, Academia.edu, and Twitter. This exploratory research investigates benefits and drawbacks of Scholarly Identity efforts and avenues for potential library support. Data from 30 semi-structured phone interviews with faculty, doctoral students, and academic librarians were qualitatively analyzed using the constant comparisons method (Charmaz, 2014) and Goffman’s (1959, 1967) theoretical concept of impression management. Results reveal that use of online platforms enables academics to connect with others and disseminate their research. Scholarly Identity platforms have benefits, opportunities, and offer possibilities for developing …


Developing An Effective Research Presence And Promoting Your Work, Amie D. Freeman, Stacy L. Winchester Apr 2019

Developing An Effective Research Presence And Promoting Your Work, Amie D. Freeman, Stacy L. Winchester

Faculty and Staff Publications

Join UofSC librarians to discover ways to develop an effective research presence and to promote your scholarship for maximum visibility and impact using ResearchGate, Google Scholar, and other tools. We’ll discuss pre-publication considerations, promotional tools and techniques, and monitoring your research impact.


Library Display 2.0: Evolving From Monologue To Dialogue, Ilishe Mikos, Brandy R. Horne, Kari D. Weaver Jul 2015

Library Display 2.0: Evolving From Monologue To Dialogue, Ilishe Mikos, Brandy R. Horne, Kari D. Weaver

Faculty Publications

Generally created by individual librarians and anchored to a physical space, library displays are often static, limited, and fleeting. However, these displays can evolve into wider, more affective, multi-dimensional, 21st century, virtual spaces by incorporating collaborative discourse between multiple librarians, by reaching out to the community for content, and by using technological tools, such as email, Google Drive, Google Images, QR codes, and social media. This paper presents a case study of the life of a library display from inception through execution. By pooling the skills, experiences, and stakeholder networks of two librarians and an MLIS intern, the library’s December …