A Look at Online Targeted Advertising in Information Systems Research

Although online targeted advertising, as a maturing research area in the discipline of information systems (IS), has great influence in practice, there have been few if any literature reviews on research in the area of online targeted advertising. In this paper, 68 articles are systematically analyzed, to assess the state of research on online targeted advertising. This paper summarizes the methodologies employed in prior research studies and uses a concept matrix to categorize the literature into three main dimensions ¬– focus on people (web users), focus on organizations (advertisers and ads brokers), and focus on technology (data mining etc.). Furthermore, this paper proposes a framework, through which important research themes and concepts are synthesized, to provide IS researchers with an overview of this research area and to identify those topics where much research has already been done and those topics where more research is needed

Making (Non)Sense: On Ruth Ozeki\u27s A Tale for the Time Being

This essay investigates the knowledge produced around Ruth Ozeki’s novel A Tale for the Time Being through a discussion of its marketing processes and its reception, as well as through textual analysis. I first draw upon Sau-ling Wong’s observations about the problem of a US-centric referential framework in the internationalization of Asian American studies to examine a Western-centric framing in the marketing strategies of the US/Canada and the UK editions of Ozeki’s novel. Next, I turn to an examination of how reviews and selected readers’ responses to Ozeki’s novel show an at-times incoherent process of making sense of this text. In the latter part of the paper, I analyze the parallel depictions of Fukushima and Cortes Island, Ruth’s dreams, and Haruki #1’s diary in Ozeki’s novel. Attending to how Ozeki’s narratives destabilize the process of making sense, I argue that the novel is neither easy to read nor as transparent as the marketing strategies and reviews and readers’ responses suggest. The difficulties of making sense represented in A Tale for the Time Being thereby have the potential to intervene in a Western-centric, posivistic reading of the Asian other, challenging us to rethink the analytic frameworks we bring to bear while reading Asian American literary texts

The Role of Technology, Content, and Context for the Success of Social Media

Social media, a new form of electronic media for social engagement and interaction, are becoming important means of communication and valuable assets for both individuals and organizations. Used by millions of online consumers and many leading business practitioners, social media, however, has remained largely unexplored by business researchers. This study, therefore, seeks to broaden our understanding by investigating weblog success in achieving readership popularity. Drawing on the techno-social perspective of media and the cognitive psychology concepts of mindfulness and mindlessness, we conjecture that readership popularity of a social media site is associated with its technology-dependent, content-dependent and context-dependent characteristics. To validate the proposed research model, a set of very popular weblogs will be studied over a period of time. We will adopt a methodology which includes an objective evaluation of the sites and a survey of individual readers

Can Big Media do "Big Society"?: A Critical Case Study of Commercial, Convergent Hyperlocal News

The UK Government is committed to helping ‘nurture a new generation of local media companies’. Changes to local media ownership rules allowing companies to follow their customers from platform to platform are supposed to assist in this by encouraging economies of scale. This paper provides a timely case study examining a UK-based commercial local news network owned by Daily Mail & General Trust that leverages economies of scale: Northcliffe Media’s network of 154 Local People websites. The study evaluates the level of audience engagement with the Local People sites through a user survey, and by looking at the numbers of active users, their contributions and their connections with other users. Interviews with ten of the ‘community publishers’ who oversee each site on the ground were conducted, along with a content survey. Although the study reveals a demand for community content, particularly of a practical nature, the results question the extent to which this type of ‘big media’ local news website can succeed as a local social network, reinvigorate political engagement, or encourage citizen reporting. The Government hopes that communities, especially rural ones, will increasingly use the Internet to access local news and information, thereby supporting new, profitable local media companies, who will nurture a sense of local identity and hold locally-elected politicians to account. This case study highlights the difficulties inherent in achieving such outcomes, even using the Government’s preferred convergent, commercial model

The Future of the Internet III

Presents survey results on technology experts' predictions on the Internet's social, political, and economic impact as of 2020, including its effects on integrity and tolerance, intellectual property law, and the division between personal and work lives

A Comparative Analysis of Opinion Mining and Sentiment Classification in Non-english Languages

In the past decade many opinion mining and sentiment classification studies have been carried out for opinions in English. However, the amount of work done for non-English text opinions is very limited.In this review, we investigate opinion mining and sentiment classification studies in three non-English languages to find the classification methods and the efficiency of each algorithm used in these methods. It is found that most of the research conducted for non-English has followed the methods used in the English language with onlylimited usage of language specific properties, such as morphological variations. The application domains seem to be restricted to particular fields and significantly less research has been conducted in cross domains. Keywords—Natural Language processing, Text mining, Machine Learning

Investigating the impact of digital influencers on consumer decision-making and content outreach: using dual AISAS model

With exponential rise of social media, marketers identify the power and effectiveness of influencer’s advertising on social networking site (SNS). Despite comprehensive understanding of the effects of influencers, their outreach to large audience is yet to be addressed. In this article, we have investigated the effects of fashion influencers on consumers’ decision-making processes and their content outreach on Instagram by embracing new behavioral consumption model ‘dual AISAS model’, which is upgraded version of AISAS Model. It is based on theoretical grounding theory of buying behavior and multi-step flow theory. Both offline and online surveys were conducted involving 969 Pakistan Instagram users following digital influencers. Valid data was assessed and analyzed through structural equation modeling. Our findings demonstrate that every path in dual AISAS model is found significant and have profound effect. It reveals that fashion influencers exert powerful influence on consumers’ decision-making process. Being so influential, they grab the consumers’ attention immediately, engage them, and get wider outreach by upturn in consumer intention in order to spread the fashion content within private networks as well as extended networks. The findings hold robust implications to both theory and practice. Some limitations of the present study offer boulevards to future scholars

Social Media, Professional Media, and Mobilization in Contemporary Britain:Explaining the Strengths and Weaknesses of the Citizens’ Movement 38 Degrees

This article was published in the journal Political Studies [SAGE © The Author(s)] and the definitive version is available at: https://doi.org/10.1177/0032321716631350Digital media continue to reshape political activism in unexpected ways. Within a period of a few years, the internet-enabled UK citizens’ movement 38 Degrees has amassed a membership of 3 million and now sits alongside similar entities such as America’s MoveOn, Australia’s GetUp! and the transnational movement Avaaz. In this article, we contribute to current thinking about digital media and mobilisation by addressing some of the limitations of existing research on these movements and on digital activism more generally. We show how 38 Degrees’ digital network repertoires coexist interdependently with its strategy of gaining professional news media coverage. We explain how the oscillations between choreographic leadership and member influence and between digital media horizontalism and elite media-centric work constitute the space of interdependencies in which 38 Degrees acts. These delicately balanced relations can quickly dissolve and be replaced by simpler relations of dependence on professional media. Yet despite its fragility, we theorise about how 38 Degrees may boost individuals’ political efficacy, irrespective of the outcome of individual campaigns. Our conceptual framework can be used to guide research on similar movements