A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research
PurposeComputational text mining methods are proposed as a useful methodological innovation in Intimate Partner Violence (IPV) research. Text mining can offer researchers access to existing or new datasets, sourced from social media or from IPV-related organisations, that would be too large to analy...
Authors: | ; ; ; |
---|---|
Format: | Electronic Article |
Language: | English |
Published: |
2023
|
In: |
Journal of family violence
Year: 2023, Volume: 38, Issue: 6, Pages: 1205-1224 |
Online Access: |
Presumably Free Access Volltext (lizenzpflichtig) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
MARC
LEADER | 00000caa a22000002 4500 | ||
---|---|---|---|
001 | 1853375152 | ||
003 | DE-627 | ||
005 | 20230723050433.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230722s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s10896-023-00517-7 |2 doi | |
035 | |a (DE-627)1853375152 | ||
035 | |a (DE-599)KXP1853375152 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
084 | |a 2,1 |2 ssgn | ||
100 | 1 | |a Neubauer, Lilly |e VerfasserIn |4 aut | |
245 | 1 | 2 | |a A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a PurposeComputational text mining methods are proposed as a useful methodological innovation in Intimate Partner Violence (IPV) research. Text mining can offer researchers access to existing or new datasets, sourced from social media or from IPV-related organisations, that would be too large to analyse manually. This article aims to give an overview of current work applying text mining methodologies in the study of IPV, as a starting point for researchers wanting to use such methods in their own work.MethodsThis article reports the results of a systematic review of academic research using computational text mining to research IPV. A review protocol was developed according to PRISMA guidelines, and a literature search of 8 databases was conducted, identifying 22 unique studies that were included in the review.ResultsThe included studies cover a wide range of methodologies and outcomes. Supervised and unsupervised approaches are represented, including rule-based classification (n = 3), traditional Machine Learning (n = 8), Deep Learning (n = 6) and topic modelling (n = 4) methods. Datasets are mostly sourced from social media (n = 15), with other data being sourced from police forces (n = 3), health or social care providers (n = 3), or litigation texts (n = 1). Evaluation methods mostly used a held-out, labelled test set, or k-fold Cross Validation, with Accuracy and F1 metrics reported. Only a few studies commented on the ethics of computational IPV research.ConclusionsText mining methodologies offer promising data collection and analysis techniques for IPV research. Future work in this space must consider ethical implications of computational approaches. | ||
650 | 4 | |a Systematic Review | |
650 | 4 | |a Natural Language Processing | |
650 | 4 | |a Machine Learning | |
650 | 4 | |a Text Analysis | |
650 | 4 | |a Text Mining | |
650 | 4 | |a Domestic Violence | |
650 | 4 | |a Intimate Partner Violence | |
700 | 1 | |a Straw, Isabel |e VerfasserIn |4 aut | |
700 | 1 | |a Mariconti, Enrico |e VerfasserIn |4 aut | |
700 | 1 | |a Tanczer, Leonie Maria |e VerfasserIn |0 (DE-588)1226123252 |0 (DE-627)1746395427 |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of family violence |d Getzville, NY : HeinOnline, 1986 |g 38(2023), 6, Seite 1205-1224 |h Online-Ressource |w (DE-627)320574547 |w (DE-600)2016884-6 |w (DE-576)121465950 |x 1573-2851 |7 nnns |
773 | 1 | 8 | |g volume:38 |g year:2023 |g number:6 |g pages:1205-1224 |
856 | |u https://link.springer.com/content/pdf/10.1007/s10896-023-00517-7.pdf |x unpaywall |z Vermutlich kostenfreier Zugang |h publisher [open (via crossref license)] | ||
856 | 4 | 0 | |u https://doi.org/10.1007/s10896-023-00517-7 |x Resolving-System |z lizenzpflichtig |3 Volltext |
935 | |a mkri | ||
951 | |a AR | ||
ELC | |a 1 | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 4357037468 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 1853375152 | ||
LOK | |0 005 20230722043608 | ||
LOK | |0 008 230722||||||||||||||||ger||||||| | ||
LOK | |0 035 |a (DE-2619)KrimDok#2023-07-21#E8EF4CD78814A4A5C9973AA0F29E8EF598DA4088 | ||
LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
LOK | |0 092 |o n | ||
LOK | |0 852 |a DE-2619 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a zota | ||
OAS | |a 1 | ||
ORI | |a SA-MARC-krimdoka001.raw |