39,444 research outputs found
Interactive Food and Beverage Marketing: Targeting Children and Youth in the Digital Age
Looks at the practices of food and beverage industry marketers in reaching youth via digital videos, cell phones, interactive games and social networking sites. Recommends imposing governmental regulations on marketing to children and adolescents
Digital Food Marketing to Children and Adolescents: Problematic Practices and Policy Interventions
Examines trends in digital marketing to youth that uses "immersive" techniques, social media, behavioral profiling, location targeting and mobile marketing, and neuroscience methods. Recommends principles for regulating inappropriate advertising to youth
Online advertising: analysis of privacy threats and protection approaches
Online advertising, the pillar of the “free” content on the Web, has revolutionized the marketing business in recent years by creating a myriad of new opportunities for advertisers to reach potential customers. The current advertising model builds upon an intricate infrastructure composed of a variety of intermediary entities and technologies whose main aim is to deliver personalized ads. For this purpose, a wealth of user data is collected, aggregated, processed and traded behind the scenes at an unprecedented rate. Despite the enormous value of online advertising, however, the intrusiveness and ubiquity of these practices prompt serious privacy concerns. This article surveys the online advertising infrastructure and its supporting technologies, and presents a thorough overview of the underlying privacy risks and the solutions that may mitigate them. We first analyze the threats and potential privacy attackers in this scenario of online advertising. In particular, we examine the main components of the advertising infrastructure in terms of tracking capabilities, data collection, aggregation level and privacy risk, and overview the tracking and data-sharing technologies employed by these components. Then, we conduct a comprehensive survey of the most relevant privacy mechanisms, and classify and compare them on the basis of their privacy guarantees and impact on the Web.Peer ReviewedPostprint (author's final draft
What do they know about me? Contents and Concerns of Online Behavioral Profiles
Data aggregators collect large amount of information about individual users
and create detailed online behavioral profiles of individuals. Behavioral
profiles benefit users by improving products and services. However, they have
also raised concerns regarding user privacy, transparency of collection
practices and accuracy of data in the profiles. To improve transparency, some
companies are allowing users to access their behavioral profiles. In this work,
we investigated behavioral profiles of users by utilizing these access
mechanisms. Using in-person interviews (n=8), we analyzed the data shown in the
profiles, elicited user concerns, and estimated accuracy of profiles. We
confirmed our interview findings via an online survey (n=100). To assess the
claim of improving transparency, we compared data shown in profiles with the
data that companies have about users. More than 70% of the participants
expressed concerns about collection of sensitive data such as credit and health
information, level of detail and how their data may be used. We found a large
gap between the data shown in profiles and the data possessed by companies. A
large number of profiles were inaccurate with as much as 80% inaccuracy. We
discuss implications for public policy management.Comment: in Ashwini Rao, Florian Schaub, and Norman Sadeh What do they know
about me? Contents and Concerns of Online Behavioral Profiles (2014) ASE
BigData/SocialInformatics/PASSAT/BioMedCom Conferenc
Faulty Metrics and the Future of Digital Journalism
This report explores the industry of Internet measurement and its impact on news organizations working online. It investigates this landscape through a combination of documentary research and interviews with measurement companies, trade groups, advertising agencies, media scholars, and journalists from national newspapers, regional papers, and online-only news ventures
Towards Psychometrics-based Friend Recommendations in Social Networking Services
Two of the defining elements of Social Networking Services are the social
profile, containing information about the user, and the social graph,
containing information about the connections between users. Social Networking
Services are used to connect to known people as well as to discover new
contacts. Current friend recommendation mechanisms typically utilize the social
graph. In this paper, we argue that psychometrics, the field of measuring
personality traits, can help make meaningful friend recommendations based on an
extended social profile containing collected smartphone sensor data. This will
support the development of highly distributed Social Networking Services
without central knowledge of the social graph.Comment: Accepted for publication at the 2017 International Conference on AI &
Mobile Services (IEEE AIMS
Telling the brand story: including news articles in online promotional strategies
Given the growing popularity of the Internet as a promotional medium, it is crucial for brand managers to examine the effects of combining the different brand communication sources online. According to social comprehension theory and knowledge from neuroscience, people exposed to a message spontaneously construct a mental simulation. People who are exposed to images or visuals are unlikely to assign verbal labels to their observations, whereas people who read a story may spontaneously form mental pictures of the narrative content. Mental processing of stories requires more extensive elaboration than processing of visuals. In a first study, survey results indicate online news articles about a brand are more likely to be acted upon by users than are advertisements. A second study considers integrating news articles and advertising when promoting new brands on the Internet in order to benefit from a synergistic effect. Previous studies examining a synergistic effect in marketing communications have looked at the increased effectiveness of combining multiple media or different tactics when promoting a brand. Experiment results from the second study indicate that when exposure to advertising combines with exposure to objective news about a new brand, effectiveness increases in terms of both ad and brand attitudes.elaboration, Internet advertising, news, synergy.
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Identifying the most influential spreaders that maximize information flow is
a central question in network theory. Recently, a scalable method called
"Collective Influence (CI)" has been put forward through collective influence
maximization. In contrast to heuristic methods evaluating nodes' significance
separately, CI method inspects the collective influence of multiple spreaders.
Despite that CI applies to the influence maximization problem in percolation
model, it is still important to examine its efficacy in realistic information
spreading. Here, we examine real-world information flow in various social and
scientific platforms including American Physical Society, Facebook, Twitter and
LiveJournal. Since empirical data cannot be directly mapped to ideal
multi-source spreading, we leverage the behavioral patterns of users extracted
from data to construct "virtual" information spreading processes. Our results
demonstrate that the set of spreaders selected by CI can induce larger scale of
information propagation. Moreover, local measures as the number of connections
or citations are not necessarily the deterministic factors of nodes' importance
in realistic information spreading. This result has significance for rankings
scientists in scientific networks like the APS, where the commonly used number
of citations can be a poor indicator of the collective influence of authors in
the community.Comment: 11 pages, 4 figure
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