A Classification of Features for Interpersonal Disconnectivity in Digital Media

Classification of Features for Interpersonal Disconnectivity in Digital Media

Article Overview

  • Title: A Classification of Features for Interpersonal Disconnectivity in Digital Media: Block, Unfriend, Unfollow, Mute, Withhold, and Eject
  • Author: Nicholas John (Department of Communication and Journalism, The Hebrew University of Jerusalem, Israel)
  • Correspondence: n.john@huji.ac.il
  • Submission and Publication Dates:
    • Submitted: 19 May 2024
    • Accepted: 2 September 2024
    • Published: 10 October 2024
  • Journal: Media and Communication, Volume 12, Article 8716
  • DOI: https://doi.org/10.17645/mac.8716
  • Issue: Part of “Disconnectivity in a Changing Media and Political Landscape”
  • Keywords: blocking, disconnection, disconnectivity, feature analysis, social media, unfollowing, unfriending

Abstract

  • The article presents the first comprehensive classification and lexicon for features that dissolve interpersonal ties in digital environments, including the functions of blocking, unfriending, unfollowing, muting, withholding, and ejecting.
  • Motivations:
    • Existing analyses of social media features do not address features enabling interpersonal disconnectivity.
    • Studies on interpersonal disconnectivity overlook the features that facilitate such actions.
  • Contributions:
    • Disambiguation of terminology for better analytical distinction between feature types.
    • Addressing the ambiguity between filtering information and avoiding interpersonal interactions.

1. Introduction

  • The article aims to classify features related to dissolving interpersonal ties in digital media for better analytical understanding.
  • It underlines the inadequacies of social media feature analyses in addressing interpersonal disconnectivity.
  • Posits critical questions regarding user intentions behind actions such as blocking and unfriending in light of social relationships in online contexts.

2. Features

  • Definition of a Feature: Featured defined as a tool that enables user activity, which can impact both the user and their connections.
    • Smock et al. (2011): “A technical tool on the site that enables activity on the part of the user.”
    • Sajtos et al. (2022): “Platforms can be regarded as a collection of features.”
    • Hasinoff and Bivens (2021): Defined features as functions that developers publicize or make visible to users.
  • The significance of feature analysis is highlighted in examining social media interfaces and their implications on user behavior.
  • Notable scholarly approaches include:
    • Stanfill (2015): Advocated for a discursive interface analysis to evaluate site affordances and their cultural implications.
    • Bivens: Focused on revealing normative assumptions preserved within social media designs.
  • Highlighted the gap in existing literature related to features enabling interpersonal disconnectivity, termed as “forgotten features” by Weller (2016).

3. Interpersonal Disconnectivity

  • There is a growing interest in the political and cultural implications of unfriending and similar behaviors on social media.
  • Research has identified terminological inconsistencies surrounding these actions.

3.1 Definition Discrepancies

  • Confusions defined between the terms "friends" and "followers" reflecting the one-directional versus mutual nature of relationships on social media systems.
  • Different perspectives from researchers highlight overlapping concepts that obscure clarity and understanding.

4. Method

  • Analyzed 37 social media platforms to catalog features related to interpersonal disconnectivity through documentation and system analysis.
    • Identification of features based on definitions, usability, and service comparisons.
  • Methodological approach aligned with a two-stage feature-level analysis akin to O’Riordan et al. (2016), creating a comprehensive dataset.
  • Full documentation available via the Open Science Framework (OSF).

5. Findings

  • Documented 52 distinct features, with a specific frequency of mention leading to key observations.
  • Most Common Features:
    • Block (57 mentions)
    • Unfollow (27 mentions)
    • Mute (14 mentions)
    • Unfriend (12 mentions)
  • Collective listing of features categorized into more general types, e.g., definitions of mute and unfriend based on documented usage across different platforms.

5.1. Blocking

  • Core functionality designed to prevent communication, disallowing any interaction from the blocked party.
  • Unique to platforms, blocking serves as a barrier to any future interactions and can also eliminate historical engagement.

5.2. Unfriending

  • Predominantly recognized as dissolution of mutual ties; allows one party to sever the connection without mutual consent.
  • Implications entail both parties losing access to each other's content, differing from blocking mechanisms.

5.3. Unfollowing

  • The act of reversing the subscription-like relationship; does not influence the other party's content visibility.

5.4. Muting

  • A form of disconnectivity that maintains ties but restricts the visibility of content.
  • This function includes temporary actions (e.g., snoozing) and specialized options like Instagram's restrict feature.

5.5. Withhold

  • The action of preventing content from reaching a designated follower's view.
  • Serves to uphold barriers in content dissemination without actually severing interpersonal relationships.

5.6. Eject

  • Involves severing the connection without eliminating the ability for the unfollowed party to see the ejected user's content unless restricted by privacy settings.
  • Similarities with withholding yet highlights a deliberate disconnect through selective expulsion from follower lists.

6. Conclusions

  • The classification aims to provide clarity over disconnectivity features in social media, establishing a consistent lexicon for further research.
  • Emphasizes the need for ongoing exploration of the motivations behind the use of these disconnectivity features as they blend personal and content management.
  • Sets a directional focus for future research on the integration of these features into user dynamics and community dialogues on social media, shaping expectations regarding user interaction and connection.