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The Effects of Privacy Awareness and Content Sensitivity on User Engagement

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

To increase user engagement is an important goal and major business model for many web applications and online publishers. An established tool for this purpose is online polling, where user opinions, preferences, attitudes and possibly personal information are collected to help publishers to a better understanding of their target audiences. These polls are often provided as supplements to online newspaper articles, the topics of which are typically also reflected in the content of the polls. We analyzed and categorized this content, and related it with the user engagement rate given as the proportion of people who voluntarily disclose personal information. Recently, public privacy awareness has increased, especially since the introduction of the European Union’s General Data Protection Regulation (GDPR). Extensive media coverage has led to public discussions about data protection and privacy. This study additionally investigated the effect of increased public privacy awareness on individual privacy awareness and subsequently user engagement. The results are based on live data of more than 60,000 polls and more than 22 million user votes, mainly collected in German-speaking countries, and give insights into user behavior when confronted with requests for personal information in various settings and over time.
OriginalspracheEnglisch
TitelHCI in Business, Government and Organizations. Information Systems and Analytics
Herausgeber*innenFiona Fui-Hoon Nah, Keng Siau
ErscheinungsortCham
VerlagSpringer
Seiten242-255
Seitenumfang14
Band11589
ISBN (Print)978-3-030-22338-0
DOIs
PublikationsstatusVeröffentlicht - 2019

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11589 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Wissenschaftszweige

  • 102 Informatik
  • 502007 E-Commerce
  • 505002 Datenschutz
  • 505015 Rechtsinformatik
  • 502050 Wirtschaftsinformatik
  • 509001 Aktionsforschung

JKU-Schwerpunkte

  • Digital Transformation
  • Pinpoll Analytics

    Stabauer, M. (Projektleiter*in)

    01.05.201731.07.2019

    Projekt: AuftragsforschungIndustrielle / Unternehmerische Auftragsforschung

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