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    Flesch-Kincaid Measure as Proxy of Socio-Economic Status on Twitter: Comparing US Senator Writing to Internet Users

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    Type
    Article
    Author
    Sarirete, Akila cc
    Ahmed, Samara
    Chowdhry, Tauseef J.
    Rajput, Adil
    Subject
    Big Data
    Natural Language Processing
    Social Computing
    Social Media
    Socioeconomic Status
    Date
    2022
    
    Metadata
    Show full item record
    Abstract
    Social media gives researchers an invaluable opportunity to gain insight into different facets of human life. Researchers put a great emphasis on categorizing the socioeconomic status (SES) of individuals to help predict various findings of interest. Forum uses, hashtags and chatrooms are common tools of conversations grouping. Crowdsourcing involves gathering intelligence to group online user community based on common interest. This paper provides a mechanism to look at writings on social media and group them based on their academic background. We analyzed online forum posts from various geographical regions in the US and characterized the readability scores of users. Specifically, we collected 10,000 tweets from the members of US Senate and computed the Flesch-Kincaid readability score. Comparing the Senators? tweets to the ones from average internet users, we note 1) US Senators? readability based on their tweets rate is much higher, and 2) immense difference among average citizen?s score compared to those of US Senators is attributed to the wide spectrum of academic attainment
    Department
    Computer Science
    Publisher
    IGI Global
    Journal title
    International Journal on Semantic Web and Information Systems
    DOI
    10.4018/IJSWIS.297037
    ae974a485f413a2113503eed53cd6c53
    10.4018/IJSWIS.297037
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