lnu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Lexicon-based sentiment analysis of fake news on social media
Sabanci University, Turkey.
Linnéuniversitetet, Ekonomihögskolan (FEH), Institutionen för marknadsföring (MF). (DISA;DISA-IDP)ORCID-id: 0000-0003-2248-0802
Sabanci University, Turkey.ORCID-id: 0000-0001-5435-6633
2022 (Engelska)Ingår i: Presented at the AIRSI2022 Conference: Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, Spain, July 11-13, 2022, Zaragoza, Spain, 2022, Zaragoza, Spain, 2022Konferensbidrag, Publicerat paper (Refereegranskat)
Hållbar utveckling
SDG 16: Främja fredliga och inkluderande samhällen för hållbar utveckling, tillhandahålla tillgång till rättvisa för alla samt bygga upp effektiva och inkluderande institutioner med ansvarsutkrävande på alla nivåer
Abstract [en]

Social media is considered one of the primary sources of information. Besides all benefits that social media bring to human life, the popularity of social media simultaneously caused a rapid spread of fake news. Fake news poses a serious threat to societies since it enhances the polarity among different ideas, such as political parties. The fake news issue was further exacerbated during the COVID-19 Pandemic, and fake news studies attracted the attention of plenty of researchers (e.g., Apuke & Omar, 2021; Elías & Catalan-Matamoros, 2020). For example, Fake news claiming that 5G cell towers affect the human immune system has led to the burning of some cell towers in Europe (Mourad et al., 2020). Researchers claimed that fake stories spread more rapidly than true ones on social media (Vosoughi et al., 2018). The rapid spread of fake news makes companies and organizations vulnerable. Fake news about a company can directly affect the company's stock price and cause financial losses. A literature review reveals that scholars from multidisciplinary areas are interested in this topic; for instance, psychology scholars aim to answer research questions such as why people believe and share fake news (Talwar et al., 2019) and what are the characteristics of people who share or are involved in the spread of fake news (Ben-Gal et al., 2019; Brashier & Schacter, 2020). Computer science scholars aim to find ways to detect fake news, using machine learning techniques to create detection models (Faustini & Covões, 2020; Ozbay & Alatas, 2020). Emotion and sentiment analysis of fake news have not been studied in the literature; thus, this research will contribute to the field significantly.

Ort, förlag, år, upplaga, sidor
Zaragoza, Spain, 2022.
Nyckelord [en]
Lexicon, Sentiment Analysis, Fake news
Nationell ämneskategori
Mänsklig interaktion med IKT
Identifikatorer
URN: urn:nbn:se:lnu:diva-115057OAI: oai:DiVA.org:lnu-115057DiVA, id: diva2:1679322
Konferens
AIRSI2022 Conference: Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, Spain, July 11-13, 2022
Tillgänglig från: 2022-06-30 Skapad: 2022-06-30 Senast uppdaterad: 2023-09-25Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Person

Ozturkcan, Selcen

Sök vidare i DiVA

Av författaren/redaktören
Ozturkcan, SelcenKasap, Nihat
Av organisationen
Institutionen för marknadsföring (MF)
Mänsklig interaktion med IKT

Sök vidare utanför DiVA

GoogleGoogle Scholar

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 123 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf