Gender and the Internet: Causes of Variation in Access, Level, and Scope of Use

By I. Wasserman, Marie Richmond-Abbott. 2005

320 citations recorded by the source corpus.

Subfields: Communication, Gender Studies, Media Technology

View Paper: https://www.semanticscholar.org/paper/ac9d2110ba03f87fb7351b38ed9f26fbcc9908df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. J. V. van Dijk
2. A. V. van Deursen
3. V. Venkatesh
4. Anne Marie Piper
5. Meredith Ringel Morris
6. James Y. L. Thong
7. Eszter Hargittai
8. Linda A. Jackson

In Gender Studies

1. A. V. van Deursen
2. J. V. van Dijk
3. Meredith Ringel Morris
4. Anne Marie Piper
5. Eszter Hargittai
6. Kerry Dobransky
7. Ericka Menchen-Trevino
8. V. Venkatesh

In Media Technology

1. J. V. van Dijk
2. A. V. van Deursen
3. Meredith Ringel Morris
4. Anne Marie Piper
5. Linda A. Jackson
6. James Y. L. Thong
7. Kerry Dobransky
8. Ericka Menchen-Trevino

Citations in the corpus

• Unrealized potential: Exploring the digital disability divide (2016, methodology): “12        Web-use skills were measured by asking respondents their level of understanding of six Internet-related terms (similar to measures used by others [e.g., Park, 2013, Wasserman and Richmond-Abbott, 2005] to measure Internet skills).”
• AGE AND GENDER DIFFERENCES IN ONLINE BEHAVIOR, SELF-EFFICACY, AND ACADEMIC PERFORMANCE (2007, unknown): “However, the way men and women use the Internet and behave online seem to differ (Royal, 2005; Wesserman & Richmond-Abbott, 2005).”
• Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites (2015, background): “…and Hsieh 2012), similar to items included in the Internet Society Module of the general Social Survey 2000 (National Opinion research Center 2000; Wasserman and richmond-Abbott 2005). respondents were asked to rate their level of understanding of twenty-seven Internet-related terms on a 5-point…”
• Managing Citizens' Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016, background): “Education, income, age, and Internet selfefficacy have also been found to influence Internet use (Wasserman and Richmond-Abbott 2005).”
• Digital Gender Divide or Technologically Empowered Women in Developing Countries? A Typical Case of Lies, Damned Lies, and Statistics (2011, background): “However, once online, women remained less frequent and less intense users of the Internet (Ono and Zavodny, 2003; Wasserman and Richmond-Abbott, 2005).”
• Cognitive ability and Internet use among older adults (2006, unknown): “We posit that this difference reflects men being relatively less attracted than women to using e-mail versus the web (e.g., Wasserman and Richmond-Abbott, 2005) and to the web being more cognitively selective (for both men and women) than e-mail.10 If modes of web use more attractive to men are…”
• Trust Online: Young Adults' Evaluation of Web Content (2010, methodology): “This measure is based on established work studying Web-use skills (e.g., Hargittai, 2009; Wasserman & Richmond-Abbott, 2005).”
• The digital divide shifts to differences in usage (2014, unknown): “…in their career, work, education and societal position than others that are mainly consumptive or entertaining (e.g. DiMaggio et al., 2004; Hargittai and Hinnant, 2008; Kim and Kim, 2001; Mossberger et al., 2003; Van Dijk, 2005; Wasserman and Richmond-Abbott, 2005; Zillien and Hargittai, 2009).”
• Race, Gender, and Information Technology Use: The New Digital Divide (2008, background): “11, 13,14 For example, a study of home Internet use by low-income children found less use by African American than Caucasian American children.”
• Gender differences in consumers’ perception of online consumer reviews (2011, background): “Also males tend to think that they are familiar with Internet-related cultures and activities regardless of whether it is actual or not, and it can be said that the gender gap in Internet usage still exists [5, 26, 40, 52 , 53, 56].”
• Internet skills and the digital divide (2011, background): “Wasserman and Richmond-Abbott (2005) found that the level of internet use was related to web knowledge, and that this was higher among men than among women.”
• From internet access to internet skills: digital inequality among older adults (2019, methodology): “We used an established survey measure of Internet skills [42, 74] to gauge user know-how, and expanded on this instrument to assess social media skills.”
• M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption (2018, background): “In addition, female buyers are found to be less familiar with Web-based applications than their male counterparts (Wasserman & Richmond-Abbott, 2005).”