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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Social Foundations of Self IV: Self in Digital Communication01:30

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Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
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Social Exchange Theory02:06

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We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
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Social Exchange Theory01:26

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As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Perspective: Acknowledging Data Work in the Social Media Research Lifecycle.

Katharina E Kinder-Kurlanda1, Katrin Weller2

  • 1CAIS - Center for Advanced Internet Studies, Bochum, Germany.

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This perspective article highlights the importance of documenting research data management decisions throughout the social media research lifecycle. Making these choices visible is crucial for understanding data quality and validity.

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data archivingdata lifecycledigital trace dataepistemologymethodologyresearch data managementsocial media research

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Area of Science:

  • Social Sciences
  • Information Science
  • Digital Humanities

Background:

  • Social media research faces ongoing challenges regarding data quality and validity.
  • Existing discussions often overlook the practical, everyday data management work involved.

Purpose of the Study:

  • To propose a data lifecycle perspective for understanding social media research data management.
  • To highlight the impact of complex external factors on research practices and data quality.

Main Methods:

  • Analysis of practical experience in archiving social media data.
  • Synthesis of findings from qualitative interviews with social media researchers.
  • Review of recent literature in the field.

Main Results:

  • Social media researchers navigate intricate relationships with platform providers, users, and legal/ethical frameworks.
  • Research design decisions are iterative and often hidden, significantly impacting data quality.
  • Visibility of these decisions is key to understanding research directions.

Conclusions:

  • Documenting choices throughout the research lifecycle is essential for addressing structural challenges in social media research.
  • Making research data management practices transparent can improve the perceived quality and validity of findings.
  • This approach moves beyond critiques of individual data access methods to systemic issues.