Datasets
Standard Dataset
Using social media and personality traits to assess software developers' emotions
- Citation Author(s):
-
LeoSilva
Centre of Informatics and Systems, University of Coimbra, Polo II, Pinhal de Marrocos, 3030-290 Coimbra, PortugalMaríliaCastroFaculty of Psychology and Educational Sciences, University of Coimbra, Colégio Novo Street, 3001-802 Coimbra, PortugalMiriamSilvaFaculty of Psychology and Educational Sciences, University of Coimbra, Colégio Novo Street, 3001-802 Coimbra, PortugalMilenaSantosFaculty of Psychology and Educational Sciences, University of Coimbra, Colégio Novo Street, 3001-802 Coimbra, PortugalUiráKulezsaDepartment of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, 59072-970, Natal, BrazilMargaridaLimaFaculty of Psychology and Educational Sciences, University of Coimbra, Colégio Novo Street, 3001-802 Coimbra, PortugalHenriqueMadeiraCentre of Informatics and Systems, University of Coimbra, Polo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal - Submitted by:
- Leo Silva
- Last updated:
- Tue, 05/10/2022 - 10:57
- DOI:
- 10.21227/1csp-qm62
- Data Format:
- License:
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Abstract
Companion data of the paper "Using social media and personality traits to assess software developers’ emotions" submitted to the IEEE Access journal, 2022. This dataset contains the anonymized dataset used in the study, including the answers of demographic survey, the answers to the Big Five Inventory, the experiment protocol, the manual analysis from psychologists and participants, all generated charts and data analysis.
Companion DATA
Title:
Using social media and personality traits to assess software developers’ emotions
Authors:
Leo Moreira Silva
Marília Gurgel Castro
Miriam Bernardino Silva
Milena Nestor Santos
Uirá Kulesza
Margarida Lima
Henrique Madeira
Journal:
IEEE Access
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The folders contain:
/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.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra.
committee_submission_form.pdf: the project submitted to the committee.
consent_form.pdf: declaration of free and informed consent fulfilled by participants.
data_protection_declaration.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation.
/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.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts
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_answers.xlsx: participantes' and psychologists' answers for BFI
Experiment Protocol.pdf: file containing the explanation of the experiment protocol.
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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.
