Algorithmic detection of misinformation and disinformation: Gricean perspectives
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Algorithmic detection of misinformation and disinformation: Gricean perspectives. / Søe, Sille Obelitz.
In: Journal of Documentation, Vol. 74, No. 2, 2018, p. 309-332.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Algorithmic detection of misinformation and disinformation: Gricean perspectives
AU - Søe, Sille Obelitz
PY - 2018
Y1 - 2018
N2 - PurposeWith the outset of automatic detection of information, misinformation, and disinformation, the purpose of this paper is to examine and discuss various conceptions of information, misinformation, and disinformation within philosophy of information.Design/methodology/approachThe examinations are conducted within a Gricean framework in order to account for the communicative aspects of information, misinformation, and disinformation as well as the detection enterprise.FindingsWhile there often is an exclusive focus on truth and falsity as that which distinguish information from misinformation and disinformation, this paper finds that the distinguishing features are actually intention/intentionality and non-misleadingness/misleadingness – with non-misleadingness/misleadingness as the primary feature. Further, the paper rehearses the argument in favor of a true variety of disinformation and extends this argument to include true misinformation.Originality/valueThe findings are novel and pose a challenge to the possibility of automatic detection of misinformation and disinformation. Especially the notions of true disinformation and true misinformation, as varieties of disinformation and misinformation, which force the true/false dichotomy for information vs mis-/disinformation to collapse.
AB - PurposeWith the outset of automatic detection of information, misinformation, and disinformation, the purpose of this paper is to examine and discuss various conceptions of information, misinformation, and disinformation within philosophy of information.Design/methodology/approachThe examinations are conducted within a Gricean framework in order to account for the communicative aspects of information, misinformation, and disinformation as well as the detection enterprise.FindingsWhile there often is an exclusive focus on truth and falsity as that which distinguish information from misinformation and disinformation, this paper finds that the distinguishing features are actually intention/intentionality and non-misleadingness/misleadingness – with non-misleadingness/misleadingness as the primary feature. Further, the paper rehearses the argument in favor of a true variety of disinformation and extends this argument to include true misinformation.Originality/valueThe findings are novel and pose a challenge to the possibility of automatic detection of misinformation and disinformation. Especially the notions of true disinformation and true misinformation, as varieties of disinformation and misinformation, which force the true/false dichotomy for information vs mis-/disinformation to collapse.
UR - https://doi.org/10.1108/JD-05-2017-0075
U2 - 10.1108/JD-05-2017-0075
DO - 10.1108/JD-05-2017-0075
M3 - Journal article
VL - 74
SP - 309
EP - 332
JO - Journal of Documentation
JF - Journal of Documentation
SN - 0022-0418
IS - 2
ER -
ID: 189733443