{"id":"https://openalex.org/W7164916690","doi":"https://doi.org/10.48550/arxiv.2606.16874","title":"Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives","display_name":"Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164916690","doi":"https://doi.org/10.48550/arxiv.2606.16874"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.16874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138088442","display_name":"Yangjun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yangjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045730630","display_name":"Mirko Bottarelli","orcid":"https://orcid.org/0000-0002-9789-5001"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bottarelli, Mirko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138092618","display_name":"Mark Hooper","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hooper, Mark","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138732067","display_name":"Carsten Maple","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maple, Carsten","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.5412999987602234,"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/T11644","display_name":"Spam and Phishing Detection","score":0.5412999987602234,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.13050000369548798,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.04190000146627426,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.632099986076355},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6047999858856201},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.48330000042915344},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4009000062942505}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.632099986076355},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6047999858856201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.583899974822998},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C2778165684","wikidata":"https://www.wikidata.org/wiki/Q6576792","display_name":"Online community","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3084000051021576}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.16874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"scam":[1,24,33,60,76,122,129,161,169,176,196,202],"behavior":[2],"is":[3,45,134],"inherently":[4],"multi-stage,":[5],"and":[6,13,26,56,78,105,171,200],"the":[7,38,41,49,72,146,149,153],"lifecycle":[8],"includes":[9],"temporally":[10],"ordered":[11],"rails":[12,44],"events":[14],"rather":[15],"than":[16],"isolated":[17],"signals.":[18],"Existing":[19],"works":[20],"analyze":[21,71,152],"characteristics":[22,77],"of":[23,51,58,75,148],"types":[25,170,177],"rails,":[27],"but":[28],"they":[29],"do":[30],"not":[31,208],"track":[32],"trends":[34],"across":[35],"years.":[36],"Moreover,":[37],"work":[39,193],"on":[40,145],"relations":[42],"between":[43],"hampered":[46],"due":[47],"to":[48,70,87,151,210],"lack":[50],"open-source":[52],"datasets":[53],"with":[54,96,136],"annotations":[55],"coverage":[57],"different":[59,168],"types.":[61],"To":[62],"address":[63],"these":[64],"gaps,":[65],"we":[66,114,140],"build":[67],"a":[68,142],"dataset":[69],"yearly":[73],"trend":[74,108],"rail":[79,100,172],"paths":[80],"using":[81],"Reddit":[82,183],"self-disclosure":[83],"narratives":[84],"from":[85,93],"2023":[86],"2025.":[88],"We":[89],"collect":[90],"21,304":[91],"posts":[92,117,150],"scam-related":[94],"subreddits":[95],"at":[97],"least":[98],"one":[99],"among":[101],"identity,":[102],"communication,":[103],"platform,":[104],"payment":[106],"for":[107,128],"analysis":[109],"by":[110,124],"heuristic":[111],"annotation.":[112,138],"Then,":[113],"label":[115],"1,800":[116],"containing":[118],"explicit":[119],"or":[120],"recoverable":[121],"chains":[123],"an":[125],"LLM-assisted":[126],"method":[127,133],"path":[130,181],"analysis.":[131],"The":[132,157],"evaluated":[135],"human":[137],"Lastly,":[139],"run":[141],"topic":[143],"model":[144],"comments":[147],"community":[154],"support":[155,184],"behavior.":[156],"results":[158],"reveal":[159],"that":[160],"processes":[162],"are":[163],"predominantly":[164],"multi-rail.":[165],"Across":[166],"years,":[167],"components":[173],"dominate.":[174],"Different":[175],"vary":[178],"systematically":[179],"in":[180],"complexity.":[182],"behaviors":[185],"have":[186],"become":[187],"more":[188],"detailed":[189],"over":[190],"time.":[191],"This":[192],"supports":[194],"synthetic":[195],"chain":[197],"data":[198],"simulation":[199],"AI-related":[201],"risk":[203],"assessment,":[204],"though":[205],"findings":[206],"may":[207],"generalise":[209],"other":[211],"platforms.":[212]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-17T00:00:00"}