NDLI: Labels and sentiment in social media: On the role of perceived agency in online discussions of the refugee crisis

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Labels and sentiment in social media: On the role of perceived agency in online discussions of the refugee crisis

Content Provider	ACM Digital Library
Author	Lee, Ju-Sung Nerghes, Adina
Abstract	By focusing on the recent events in the Middle East, that have pushed many to flee and seek refuge in neighboring countries or in Europe, we investigate dynamics of label use in social media, the emergent patterns of labeling that can cause further disaffection and tension, and the sentiments associated with the different labels. To achieve this, we examine key labels pertaining to the refugee/migrant crisis and their usage in the user comment thread of a highly viewed and informational video of the crisis on YouTube. The use of labels indicate that migration issues are being framed not only through labels characterizing the crisis but also by their describing the individuals themselves. The sentiments associated with these labels depart from what one would normally expect; in particular, negative sentiment is attached to labels that would otherwise be deemed neutral or positive. Interestingly, both positive and negative labels exhibit increased negativity across time. Using topic modeling and sentiment analysis jointly, we discover that the latent topics of the most positive comments show more overlap than those topics of the most negative comments, which are more focused and partitioned. In terms of sentiment, we find that labels indicating some degree of perceived agency or opportunity, such as 'migrant' or 'immigrant', are embedded in less sympathetic comments than those labels indicating a need to escape war-torn regions or persecution (e.g., asylum seeker or refugee). Our study offers valuable insights into the direction of public sentiment and the nature of discussions surrounding this significant societal event, as well as the nature of online opinion sharing.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450348478
DOI	10.1145/3097286.3097300
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Topic modeling Sentiment analysis European refugee crisis Social media Labels and frames
Content Type	Text
Resource Type	Article

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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
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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

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