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Related Experiment Video

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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Encountering deception in virtual spaces: guidelines for virtual ethnography.

Lisa Lucile Owens1

  • 1University of Massachusetts School of Law, Dartmouth, MA, United States.

Frontiers in Sociology
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Summary

Researchers must address deception in virtual ethnography to ensure data validity. This perspective offers guidelines for identifying and handling deceptive data in online qualitative research.

Keywords:
data transparencydeceptionethnographyresearch methodologyvirtual

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Area of Science:

  • Social Sciences
  • Qualitative Research Methods
  • Digital Ethnography

Background:

  • Qualitative fieldwork is increasingly conducted in virtual environments.
  • Virtual fieldwork presents unique challenges for data gathering and verification.
  • Ensuring data validity and facticity is complicated by potential deception from research subjects regarding their identity or experiences.

Purpose of the Study:

  • To explore the implications of deception in virtual fieldwork.
  • To provide guidelines for researchers designing virtual ethnographies.
  • To address critical dilemmas in data gathering and verification within virtual spaces.

Main Methods:

  • Perspective essay drawing from an experience of deception in virtual fieldwork.
  • Analysis of challenges in virtual ethnography data validity.
  • Development of guidelines for handling deceptive data.

Main Results:

  • Deception poses a significant threat to data validity and facticity in virtual ethnography.
  • Researchers need clear strategies for identifying and addressing deceptive data.
  • Transparency in methodology is crucial when encountering deception.

Conclusions:

  • Methodologies for virtual ethnography must account for the possibility of deception.
  • Guidelines are needed for articulating, identifying, and managing deceptive data.
  • Maintaining data integrity and transparency is paramount in digital qualitative research.