Annotated Bibliography

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Characterizing web pornography consumption from passive measurements

Web pornography represents a large fraction of the Internet traffic, with thousands of websites and millions of users. Studying web pornography consumption allows understanding human behaviors and it is crucial for medical and psychological research. However, given the lack of public data, these works typically build on surveys, limited by different factors, e.g. unreliable answers that volunteers may (involuntarily) provide. In this work, we collect anonymized accesses to pornography websites using HTTP-level passive traces. Our dataset includes about $15\,000$ broadband subscribers over a period of 3 years. We use it to provide quantitative information about the interactions of users with pornographic websites, focusing on time and frequency of use, habits, and trends. We distribute our anonymized dataset to the community to ease reproducibility and allow further studies.Comment: Passive and Active Measurements Conference 2019 (PAM 2019). 14 pages, 7 figure

Visual Representations of Gender and Computing in Consumer and Professional Magazines

Studies in the nineteen-eighties showed that advertising images of computers were gendered, with women relatively less represented, and shown with less empowered roles, problems or presented as sexual objects. This paper uses a mix of content and interpretative analysis to analyse current imagery in consumerist and professional society publications. It reveals the present variation and complexity of the iconography of computers and people across different domains of representation, with the continuation of gender bias in subtle forms

An automatic method for assessing the teaching impact of books from online academic syllabi

University of Wolverhampto

Can Amazon.com reviews help to assess the wider impacts of books?

University of Wolverhampto

Toward an integrated framework of information and communication behavior: College students' information resources and media selection

This study investigated college students' selection of information resources and engagement in information activities from the perspective of an integrated framework of information and communication behavior, by examining students' interactions with many different types of information resources and media across their school, personal, entertainment, problem solving, and other daily routines. Both web-based diaries and semi-structured interviews were used to capture students' information behavior in natural settings. The subjects logged into a web-based diary and recorded the details of their most important information seeking activity on that day by responding to eleven questions including information seeking topic, resources used, time taken, difficulty, familiarity, and confidence. Two hundred and forty-five information seeking episodes reported by twenty-four subjects from three different colleges and universities were collected over a ten-day period. Findings indicate that the students used multiple information resources in one information seeking episode to verify the content in, often, both information and communication behaviors. The results also reveal that information seeking can be better understood from a social framework because students were aware that human information behavior is influenced by other people's opinions and recommendations and may also affect other people's lives.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61326/1/1450440234_ftp.pd

Characterizing Web Pornography Consumption from Passive Measurements

Web pornography represents a large fraction of the Internet traffic, with thousands of websites and millions of users. Studying web pornography consumption allows understanding human behaviors and it is crucial for medical and psychological research. However, given the lack of public data, these works typically build on surveys, limited by different factors, \eg unreliable answers that volunteers may (involuntarily) provide. In this work, we collect anonymized accesses to pornography websites using HTTP-level passive traces. Our dataset includes about 15,000 broadband subscribers over a period of 3 years. We use it to provide quantitative information about the interactions of users with pornographic websites, focusing on time and frequency of use, habits, and trends. We distribute our anonymized dataset to the community to ease reproducibility and allow further studies

An Ideological Analysis of Digital Reference Service Models

published or submitted for publicatio