Using social media and personality traits to assess software developers' emotional polarity

Companion DATA

Title:
    Using social media and personality traits to assess software developers' emotional polarity

Authors: 
    Leo Moreira Silva
    Marília Gurgel Castro
    Miriam Bernardino Silva
    Milena Santos
    Uirá Kulesza
    Margarida Lima
    Henrique Madeira

Journal:
        PeerJ Computer Science

Github:
    https://github.com/leosilva/peerj_computer_science_2022

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The folders contain:

Experiment_Protocol.pdf: document that present the protocol regarding recruitment protocol, data collection of public posts from Twitter, criteria for manual analysis, and the assessment of Big Five factors from participants and psychologists. English version.

/analysis
    analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists
    analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants
    analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications

/dataset
    alldata.json: contains the dataset used in the paper

/ethics_committee
    committee_response_english_version.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. English version.
    committee_response_original_portuguese_version: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. Portuguese version.
    committee_submission_form_english_version.pdf: the project submitted to the committee. English version.
    committee_submission_form_original_portuguese_version.pdf: the project submitted to the committee. Portuguese version.
    consent_form_english_version.pdf: declaration of free and informed consent fulfilled by participants. English version.
    consent_form_original_portuguese_version.pdf: declaration of free and informed consent fulfilled by participants. Portuguese version.
    data_protection_declaration_english_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. English version.
    data_protection_declaration_original_portuguese_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. Portuguese version.

/notebooks
    General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper
    Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study
    Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results
    Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results
    Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis
    Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period

/surveys
    Demographic_Survey_english_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. English version.
    Demographic_Survey_portuguese_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. Portuguese version.
    Demographic_Survey_answers.xlsx: participants' demographic survey answers
    ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.
    ibf_en.doc: translation in English of the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.
    ibf_answers.xlsx: participantes' and psychologists' answers for BFI

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We have removed from dataset any sensible data to protect participants' privacy and anonymity.
We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.