{"id":"https://openalex.org/W3090115945","doi":"https://doi.org/10.1145/3377816.3381732","title":"Stress and burnout in open source","display_name":"Stress and burnout in open source","publication_year":2020,"publication_date":"2020-06-27","ids":{"openalex":"https://openalex.org/W3090115945","doi":"https://doi.org/10.1145/3377816.3381732","mag":"3090115945"},"language":"en","primary_location":{"id":"doi:10.1145/3377816.3381732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377816.3381732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: New Ideas and Emerging Results","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085536282","display_name":"Naveen Raman","orcid":"https://orcid.org/0009-0006-8886-084X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naveen Raman","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007448450","display_name":"Minxuan Cao","orcid":"https://orcid.org/0000-0002-2112-8121"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minxuan Cao","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062910836","display_name":"Yulia Tsvetkov","orcid":"https://orcid.org/0000-0002-4634-7128"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulia Tsvetkov","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067467896","display_name":"Christian K\u00e4stner","orcid":"https://orcid.org/0000-0002-4450-4572"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian K\u00e4stner","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050821883","display_name":"Bogdan Vasilescu","orcid":"https://orcid.org/0000-0003-4418-5783"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bogdan Vasilescu","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085536282"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":11.4055,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98457456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.6883665323257446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596176028251648},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.604122519493103},{"id":"https://openalex.org/keywords/open-source-software","display_name":"Open source software","score":0.5485724210739136},{"id":"https://openalex.org/keywords/burnout","display_name":"Burnout","score":0.5245229005813599},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4631006419658661},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4299491345882416},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41362589597702026},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.4110843241214752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27041172981262207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24290910363197327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17833584547042847},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11374706029891968}],"concepts":[{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.6883665323257446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596176028251648},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.604122519493103},{"id":"https://openalex.org/C2988343187","wikidata":"https://www.wikidata.org/wiki/Q1130645","display_name":"Open source software","level":3,"score":0.5485724210739136},{"id":"https://openalex.org/C143916079","wikidata":"https://www.wikidata.org/wiki/Q2629248","display_name":"Burnout","level":2,"score":0.5245229005813599},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4631006419658661},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4299491345882416},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41362589597702026},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.4110843241214752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27041172981262207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24290910363197327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17833584547042847},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11374706029891968},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377816.3381732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377816.3381732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: New Ideas and Emerging Results","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W182831726","https://openalex.org/W1071251684","https://openalex.org/W2038411619","https://openalex.org/W2043223258","https://openalex.org/W2044679885","https://openalex.org/W2046690674","https://openalex.org/W2082539579","https://openalex.org/W2093038183","https://openalex.org/W2097726431","https://openalex.org/W2099813784","https://openalex.org/W2124100711","https://openalex.org/W2139888022","https://openalex.org/W2140910804","https://openalex.org/W2294119943","https://openalex.org/W2518968648","https://openalex.org/W2548749170","https://openalex.org/W2571312737","https://openalex.org/W2727177317","https://openalex.org/W2740168486","https://openalex.org/W2757202410","https://openalex.org/W2885935106","https://openalex.org/W2887782043","https://openalex.org/W2963790016","https://openalex.org/W2970395295","https://openalex.org/W3123293202","https://openalex.org/W3124180615","https://openalex.org/W3208654074","https://openalex.org/W4205184193","https://openalex.org/W4248288143"],"related_works":["https://openalex.org/W4376877853","https://openalex.org/W4250928611","https://openalex.org/W4232280318","https://openalex.org/W166480398","https://openalex.org/W167327709","https://openalex.org/W2054706656","https://openalex.org/W4210922265","https://openalex.org/W4319870556","https://openalex.org/W1985865858","https://openalex.org/W2084742289"],"abstract_inverted_index":{"Developers":[0],"from":[1,9,18],"open-source":[2],"communities":[3],"have":[4],"reported":[5],"high":[6],"stress":[7],"levels":[8],"frequent":[10],"demands":[11],"for":[12,36,72],"features":[13],"and":[14,17,30,47,63,91,102,108],"bug":[15],"fixes":[16],"the":[19],"sometimes":[20],"aggressive":[21],"tone":[22],"of":[23],"these":[24],"demands.":[25],"Toxic":[26],"conversations":[27],"may":[28],"demotivate":[29],"burn":[31],"out":[32],"developers,":[33],"creating":[34],"challenges":[35],"sustaining":[37],"open":[38],"source.":[39],"We":[40,53,82],"outline":[41],"a":[42,55,65],"path":[43],"toward":[44,58],"finding,":[45],"understanding,":[46],"possibly":[48],"mitigating":[49],"such":[50],"unhealthy":[51],"interactions.":[52],"take":[54],"first":[56],"step":[57],"finding":[59,96],"them,":[60],"by":[61,100],"developing":[62],"demonstrating":[64],"measurement":[66],"instrument":[67],"(an":[68],"SVM":[69],"classifier":[70,85],"tailored":[71],"software":[73],"engineering)":[74],"to":[75,86],"detect":[76],"toxic":[77],"discussions":[78],"in":[79,92],"GitHub":[80,94],"issues.":[81],"used":[83],"our":[84],"analyze":[87],"trends":[88],"over":[89],"time":[90],"different":[93],"communities,":[95],"that":[97,103],"toxicity":[98,104],"varies":[99],"community":[101],"decreased":[105],"between":[106],"2012":[107],"2018.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}