Sentiment Analysis on Information Literacy: Perspectives of the Instruction Librarians

Arif Khan, Haroon Idrees, Ali Asghar

    Research output: Other contribution to conferenceAbstractpeer-review

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    Abstract

    Purpose: Social media provides a platform for the people to share opinions and expressions even if they are living in a conservative society where females cannot express their views openly. The purpose of this ongoing study is to determine the attitudes of female instruction librarians towards information literacy and professional development using a sentiment analysis technique. Our aim is to determine whether respondents’ expressions and opinions about
    professional development through information literacy is positive, negative, or neutral.
    Design/Methodology: We collected primary data from conversations on Facebook including wall posts, comments, and group chats among
    the Pakistani library and information science (LIS) community. We also collected and analyzed publicly shared emails on a yahoo mailing group. We stored the data in a text editor and used an online sentiment analysis tool to conduct a computational study of the affect, opinions, and sentiments expressed in these texts in order to identify the respondents’ positive, negative, and neutral emotions. We used Nvivo software to facilitate categorizing the opinions
    and emotions.
    Findings: Respondents of this study are female instruction librarians who are involved in information literacy activities at their respective organizations working within or outside Pakistan. The study is in progress. However, we will focus the data analysis to extract perceptions of the respondents in two dimensions. One focus will be on assessing the potential relationship between information literacy and professional development. Our second focus will be to
    categorize the insights of the respondents regarding change in the information behavior of their clients.
    Original languageEnglish
    Pages160
    Publication statusPublished - Oct 2016

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