@inproceedings{conf/codaspy/HanksKNV24,
  added-at = {2024-06-18T00:00:00.000+0200},
  author = {Hanks, Casey and Ko, Shanina and Nguyen, Emily and Verma, Rakesh M.},
  biburl = {https://www.bibsonomy.org/bibtex/237d6a47f4a2073572aea95df5adfb2c9/dblp},
  booktitle = {IWSPA@CODASPY},
  crossref = {conf/codaspy/2024iwspa},
  editor = {Hu, Hongxin and Sung, Andrew H. and Verma, Rakesh M.},
  ee = {https://doi.org/10.1145/3643651.3659895},
  interhash = {f054922e37c12a43c315111cf9785edc},
  intrahash = {37d6a47f4a2073572aea95df5adfb2c9},
  keywords = {dblp},
  pages = {59-68},
  publisher = {ACM},
  timestamp = {2024-10-07T08:07:50.000+0200},
  title = {Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges.},
  url = {http://dblp.uni-trier.de/db/conf/codaspy/iwspa2024.html#HanksKNV24},
  year = 2024
}

{"_id":"CZtpBTgu7RBu6GLAZ","bibbaseid":"hanks-ko-nguyen-verma-domainindependentdeceptiondetectionfeaturesetsliwcefficacyandsyntheticdatachallenges-2024","author_short":["Hanks, C.","Ko, S.","Nguyen, E.","Verma, R. M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","added-at":"2024-06-18T00:00:00.000+0200","author":[{"propositions":[],"lastnames":["Hanks"],"firstnames":["Casey"],"suffixes":[]},{"propositions":[],"lastnames":["Ko"],"firstnames":["Shanina"],"suffixes":[]},{"propositions":[],"lastnames":["Nguyen"],"firstnames":["Emily"],"suffixes":[]},{"propositions":[],"lastnames":["Verma"],"firstnames":["Rakesh","M."],"suffixes":[]}],"biburl":"https://www.bibsonomy.org/bibtex/237d6a47f4a2073572aea95df5adfb2c9/dblp","booktitle":"IWSPA@CODASPY","crossref":"conf/codaspy/2024iwspa","editor":[{"propositions":[],"lastnames":["Hu"],"firstnames":["Hongxin"],"suffixes":[]},{"propositions":[],"lastnames":["Sung"],"firstnames":["Andrew","H."],"suffixes":[]},{"propositions":[],"lastnames":["Verma"],"firstnames":["Rakesh","M."],"suffixes":[]}],"ee":"https://doi.org/10.1145/3643651.3659895","interhash":"f054922e37c12a43c315111cf9785edc","intrahash":"37d6a47f4a2073572aea95df5adfb2c9","keywords":"dblp","pages":"59-68","publisher":"ACM","timestamp":"2024-10-07T08:07:50.000+0200","title":"Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges.","url":"http://dblp.uni-trier.de/db/conf/codaspy/iwspa2024.html#HanksKNV24","year":"2024","bibtex":"@inproceedings{conf/codaspy/HanksKNV24,\n added-at = {2024-06-18T00:00:00.000+0200},\n author = {Hanks, Casey and Ko, Shanina and Nguyen, Emily and Verma, Rakesh M.},\n biburl = {https://www.bibsonomy.org/bibtex/237d6a47f4a2073572aea95df5adfb2c9/dblp},\n booktitle = {IWSPA@CODASPY},\n crossref = {conf/codaspy/2024iwspa},\n editor = {Hu, Hongxin and Sung, Andrew H. and Verma, Rakesh M.},\n ee = {https://doi.org/10.1145/3643651.3659895},\n interhash = {f054922e37c12a43c315111cf9785edc},\n intrahash = {37d6a47f4a2073572aea95df5adfb2c9},\n keywords = {dblp},\n pages = {59-68},\n publisher = {ACM},\n timestamp = {2024-10-07T08:07:50.000+0200},\n title = {Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges.},\n url = {http://dblp.uni-trier.de/db/conf/codaspy/iwspa2024.html#HanksKNV24},\n year = 2024\n}\n\n","author_short":["Hanks, C.","Ko, S.","Nguyen, E.","Verma, R. M."],"editor_short":["Hu, H.","Sung, A. H.","Verma, R. M."],"key":"conf/codaspy/HanksKNV24","id":"conf/codaspy/HanksKNV24","bibbaseid":"hanks-ko-nguyen-verma-domainindependentdeceptiondetectionfeaturesetsliwcefficacyandsyntheticdatachallenges-2024","role":"author","urls":{"Link":"https://doi.org/10.1145/3643651.3659895","Paper":"http://dblp.uni-trier.de/db/conf/codaspy/iwspa2024.html#HanksKNV24"},"keyword":["dblp"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"http://www.bibsonomy.org/bib/author/rakesh verma?items=1000","dataSources":["seGkXRkGoHfA3ej9n"],"keywords":["dblp"],"search_terms":["domain","independent","deception","detection","feature","sets","liwc","efficacy","synthetic","data","challenges","hanks","ko","nguyen","verma"],"title":"Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges.","year":2024}