Algorithmic detection of misinformation and disinformation: Gricean perspectives

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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

Harvard

Søe, SO 2018, 'Algorithmic detection of misinformation and disinformation: Gricean perspectives', Journal of Documentation, vol. 74, no. 2, pp. 309-332. https://doi.org/10.1108/JD-05-2017-0075

APA

Søe, S. O. (2018). Algorithmic detection of misinformation and disinformation: Gricean perspectives. Journal of Documentation, 74(2), 309-332. https://doi.org/10.1108/JD-05-2017-0075

Vancouver

Søe SO. Algorithmic detection of misinformation and disinformation: Gricean perspectives. Journal of Documentation. 2018;74(2):309-332. https://doi.org/10.1108/JD-05-2017-0075

Author

Søe, Sille Obelitz. / Algorithmic detection of misinformation and disinformation: Gricean perspectives. In: Journal of Documentation. 2018 ; Vol. 74, No. 2. pp. 309-332.

Bibtex

@article{48e2389bbc654896b55cae0c551a77c4,
title = "Algorithmic detection of misinformation and disinformation: Gricean perspectives",
abstract = "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.",
author = "S{\o}e, {Sille Obelitz}",
year = "2018",
doi = "10.1108/JD-05-2017-0075",
language = "English",
volume = "74",
pages = "309--332",
journal = "Journal of Documentation",
issn = "0022-0418",
publisher = "Emerald Group Publishing",
number = "2",

}

RIS

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