NDLI: Applying a total error framework for digital traces to social media research

Please wait, while we are loading the content...

Applying a total error framework for digital traces to social media research

Content Provider	Scilit
Author	Sen, Indira Flöck, Fabian Weller, Katrin Weiß, Bernd Wagner, Claudia
Copyright Year	2021
Description	Researchers across disciplines have begun to discuss the potential errors that can occur when digital traces, such as social media data, are used to learn about humans and social phenomena. This chapter will give concrete application examples of computational social science research with social media data. First, we will introduce our total error framework for digital traces of humans online (TED) that we have proposed previously and that is inspired by existing error frameworks in the area of survey methodology, such as the total survey error framework (TSE). We explain the different error types that we have defined in our error framework and that might be lurking “behind the scenes” of each study. The reader will gain insights into how to diagnose and understand errors that frequently plague computational social science studies to avoid, mitigate, or at least document them. Two illustrative case studies, one about measuring presidential approval as an example of opinion mining and one about using the Google Perspective API to automatically detect toxicity, are used to discuss potential errors that might happen during different steps in the research process. Book Name: Handbook of Computational Social Science, Volume 2
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.4324/9781003025245-11&type=chapterpdf
Ending Page	139
Page Count	13
Starting Page	127
DOI	10.4324/9781003025245-11
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-11-10
Access Restriction	Open
Subject Keyword	Book Name: Handbook of Computational Social Science, Volume 2 Survey Error Framework Science Digital Traces Social Media Data
Content Type	Text
Resource Type	Chapter

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in