Targeted Advertising Technologies in the ICT Space

Schlee, Christian

doi:10.1007/978-3-8348-2396-0

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…Formally, targeting can be defined as the specific alignment and delivery of (commercial) messages at predefined audiences (Schlee, 2013). Most often, it refers to online advertising that is based on personal data the advertiser has about the recipient, such as (socio-) demographics, preferences and interests, social connections, browsing behavior, and location data (Schumann et al, 2014;Stiglbauer and Kovacs, 2018).…”

Section: Targeting In the Political Arenamentioning

confidence: 99%

(Tar)getting you: The use of online political targeted messages on Facebook

et al. 2022

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This study examines how mainstream political actors and other organizations use political targeted messages. For this purpose, a data set from ProPublica is used. The study examines 55,918 sponsored Facebook ads that were posted by 236 political actors (i.e., political elites and other organizations) in the United States. (1) Topic classification was used to identify policy issues, (2) network analysis to identify the main policy issues from the various political actors, and (3) Sankey diagrams to visualize microtargeted messages. Our findings indicate that actors focus on traditionally owned issues (i.e., the Democratic Party: environmental policy, social issues, and social welfare; the Republican Party: foreign affairs, law, and government finances). No clear evidence for a focus on wedge issues can be found, however, some first indications (e.g., a focus on reproductive rights, LGBTQ+) are present in a targeted media environment. All in all, the current study helps us to understand in what way political actors deploy targeted messages.

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Section: Targeting In the Political Arenamentioning

confidence: 99%

(Tar)getting you: The use of online political targeted messages on Facebook

et al. 2022

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“…52 The concept of targeted advertising encompasses the compilation of detailed information on consumers and their preferences in using the internet or consuming other media to provide them with the individualized advertisement. 53 The aggregation of data could lead to the creation of profiles. Profiling may pose certain risks due to the utilization of personal data, and companies also have the upper hand since they acquire the abundant amount of individual data in the decision-making process.…”

Section: The Utilization Of 'Emotion' As Inferred Data In the Light O...mentioning

confidence: 99%

Speak Up! Legal Challenges in the Light of the Determination of Emotion in Conducting Targeted Advertising through a Voice Recognition Device

Rachmaniar

2022

CTLR

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Artificial Intelligence (AI) technology keeps on being developed and has started to emerge into some devices and/or machines. AI can be embedded in many forms, and one of them is voice recognition technology. This technology that offered a human-like interactive feature has featured such as in iPhone Siri and Amazon Alexa. The rising trend of this technology also showed when Amazon has been granted a new patent regarding its virtual assistant, Alexa, in 2018. According to the patent, the device will automatically infer the user’s voice to determine their emotion in order to generate targeted advertisements. This patent hence posed a risk of harming the user’s autonomy since the user is unable to leave their emotions to go undetected by the device. Therefore, the commodification of emotion could challenge the adequacy of the current legal regimes, in particular, data protection and consumer laws since both have the primary concern to protect the autonomy and dignity of consumers. This research aimed to analyse whether the current European data protection and consumer laws are adequate to mitigate the risks posed by the commodification of emotion to conduct targeted advertising in the voice recognition technology.

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“…Targeted ads are dedicated for specific target groups around the web and big users like Google thanks their enormous growth to the profit earned by the advertising services based on complex targeting technologies. However, the targeted advertising potential has exceeded the web and has covered the total ICT (information and communications technology) space including IPTV (Internet Protocol television), Mobile and converged environments [9]. So far, the most profitable location for online advertising has been the 'search' area, and the most search advertising effectiveness is obtained by adwords model and matching the search term with ads.…”

Section: Targeted Advertisingmentioning

confidence: 99%

Collecting User Preferences from User Activities on E-Commerce Web-Site Focusing on Sending Targeted Advertisements

Nasirinejad¹

2018

JCP

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Internet is growing as a global marketplace. For the foreseeable future, online advertising remains as the main source of revenue on the web. Taking advantage of Web mining techniques is useful in this way that it is possible to replace personalized ads by public advertisement by examining the user profile and extracting his interests. Since the data, associated with user performance, have a large volume and are generated in high speed and are very versatile, they can be called as big data. As it will be explained below, the processing of big data seems impossible using traditional technology. Using relational database in order to process huge data is very difficult; hence, the use of a non-relational database such as MongoDB can facilitate the processing of data in addition to resolve the mentioned issues. A major problem in the process of understanding the user's favorites and sending his favorite target advertising is to collect information that will help researchers in this field; In order to collect this information, the website designed for an electronics store database with MongoDB database has been redesigned in which the required factors, including the user login time to the site, number of visits per page, the number of rotating the mouse cursor over the product image etc. have been considered to understand the user interests, and thereby, their interest has been identified; then it has been used in a 6-month period by the customers of the store. After collecting and analyzing the data, it was observed that different users have different performance in site and suggestions have been provided to improve site performance, customer satisfaction and online store sales based on their tastes.

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Targeted Advertising Technologies in the ICT Space

Cited by 8 publications

References 2 publications

(Tar)getting you: The use of online political targeted messages on Facebook

(Tar)getting you: The use of online political targeted messages on Facebook

Speak Up! Legal Challenges in the Light of the Determination of Emotion in Conducting Targeted Advertising through a Voice Recognition Device

Collecting User Preferences from User Activities on E-Commerce Web-Site Focusing on Sending Targeted Advertisements

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