Theo Araujo

Theo Araujo
University of Amsterdam | UVA · Amsterdam School of Communications Research ASCoR

PhD

About

38
Publications
11,072
Reads
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1,409
Citations

Publications

Publications (38)
Article
Full-text available
This preview article discusses PORT—a data donation software newly developed by Boeschoten et al.—toward the background of three core data donation principles: privacy protection, meaningful data extraction, and securing user agency.
Article
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Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education, and work support. However, there is only limited knowledge concerning the impact of chatbots at the individual, group, and societal level. Furthermore, a number of challenges remain to be res...
Preprint
The digital traces that people leave through their use of various online platforms provide tremendous opportunities for studying human behavior. However, the collection of these data is hampered by legal, ethical and technical challenges. We present a framework and tool for collecting these data through a data donation platform where consenting par...
Article
Full-text available
The purpose of this study is to investigate cultural influence on the creation of brand-related posts on Facebook, with a particular focus on the mediating roles of the diversity of user audiences, as well as the intensity of Facebook use. The online survey was conducted with a representative sample of respondents from South Korea, Thailand, the Ne...
Article
Online users are increasingly exposed to chatbots as one form of AI-enabled media technologies, employed for persuasive purposes, e.g., making product/service recommendations. However, the persuasive potential of chatbots has not yet been fully explored. Using an online experiment (N = 242), we investigate the extent to which communicating with a s...
Article
The ongoing substitution of human decision makers by automated decision-making (ADM) systems in a whole range of areas raises the question of whether and, if so, under which conditions ADM is acceptable and fair. So far, this debate has been primarily led by academics, civil society, technology developers and members of the expert groups tasked to...
Conference Paper
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Conversational recommender systems provide users with individually tailored recommendations in a flowing dialogue. These require users to disclose information proactively or reactively for receiving personalized recommendations, which can trigger users' resistance to the platform and to the recommendations. Accordingly , this study examined the ext...
Article
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With digital communication increasingly shifting to mobile devices, communication research needs to explore ways to retrieve, process, and analyze digital trace data on people’s most personal devices. This study presents a new methodological approach, mobile data donations, in which smartphone usage data is collected unobtrusively with the help of...
Article
The aim of this study was to test how two important types of social cues used by virtual assistants today can affect consumer concerns and persuasion. These two cues are modality (voice-based via smart speaker, voice-based via a smartphone, or text-based on a smartphone screen) and the adoption of a human name rather than no name. An online scenari...
Article
Unobtrusive measures are measures that—unlike self‐reports—do not intrude on or interfere with the context of the research. Observation, physical traces, and archives and documents are the three main categories of nondigital unobtrusive data. Digital unobtrusive measures can be collected online or offline, at aggregate or individual levels. Merits...
Article
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The increasing volume of images published online in a wide variety of contexts requires communication researchers to address this reality by analyzing visual content at a large scale. Ongoing advances in computer vision to automatically detect objects, concepts, and features in images provide a promising opportunity for communication research. We p...
Article
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Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the e...
Preprint
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Recommender agents, artificially intelligent recommender systems that demonstrate anthropomorphic cues, are widely available online to provide consumers with individually tailored recommendations. Nevertheless, little is known about the effect of their anthropomorphic cues on users’ resistance to both the system and recommendations. Moreover, indiv...
Article
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Given the increased relevance of social networking sites (SNSs) for consumers around the globe, companies face the challenge of understanding motivations underlying consumers’ interactions with online brand-related content. Cross-cultural research on consumer motivations for online brand-related activities on SNSs, however, is limited. The present...
Article
The aim of the study was to deepen our understanding of how related multiscreening affects audience memory and persuasion. A survey was administered after a live television show. The results showed that the higher the perceived relatedness of the multi-screen activity, the more persuasive the message. This effect was mediated by subsequent attentio...
Preprint
Chatbots are increasingly used in a commercial context to make product- or service-related recommendations. By doing so, they collect personal information of the user, similar to other online services. While privacy concerns in an online (website-) context are widely studied, research in the context of chatbot-interaction is lacking. This study inv...
Chapter
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Conversational agents are gradually being deployed by organizations in service settings to communicate with and solve problems together with consumers. The current study investigates how consumers’ perceptions of cooperation with conversational agents in a service context are associated with their perceptions about agents’ anthropomorphism, social...
Chapter
Chatbots are increasingly used in a commercial context to make product- or service-related recommendations. By doing so, they collect personal information of the user, similar to other online services. While privacy concerns in an online (website-) context are widely studied, research in the context of chatbot-interaction is lacking. This study inv...
Article
Full-text available
This article scrutinizes the method of automated content analysis to measure the tone of news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually coded economic news as well as examine the agreement between these dictionary approaches themselves. We assess the performance of five off-the-shelf sentiment analysis tools...
Article
Purpose The purpose of this paper is to explore the interrelationship between television (TV) consumption (viewing ratings), engagement behaviors of different actors on Twitter (TV programs, media, celebrities and viewers) and the content of engagement behaviors (affective, program-related and social content). Design/methodology/approach TV rating...
Article
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Consumers across the globe increasingly engage with user-generated content about brands on social networking sites (i.e., brand-related user-generated content [Br-UGC]). As online consumer behavior does not occur in a cultural void, the present study extends earlier research by explicitly examining how the collectivism-individualism dimension, both...
Article
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Social media have enabled sports fans to interact with their favourite clubs, players, and fellow fans. By using a sample of over 4.5 million tweets, we applied a social networks approach to examine whether and, if so, how different types of users influence online engagement and patterns of information flow of professional football clubs on Twitter...
Article
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The increasing volume of firm-related conversations on social media has made it considerably more difficult for marketers to track and analyse electronic word-of-mouth (eWOM) about brands, products or services. Firms often use sentiment analysis to identify relevant eWOM that requires a response to consequently engage in webcare. In this paper, we...
Article
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Since news circulation increasingly takes place online, the public has gained the capacity to influence the salience of topics on the agenda, especially when it comes to social media. Considering increased scrutiny about organizations, this study aims to understand what causes heightened activity to organization-related topics among Twitter users....
Article
Social Networking Sites (SNSs) not only enable users to read or create content about brands, but also to easily pass along this content using information diffusion mechanisms such as retweeting or sharing. While these capabilities can be optimal for viral marketing, little is known, however, about how reading brand messages passed along by SNS cont...
Article
Full-text available
Research investigating the drivers of consumers’ engagement with brands on social media is proliferating. However, little is known about how advertising outside social media drives engagement with brands on social media. This study aims to explore the relation between advertising spend in different offline media (TV, radio, newspapers, magazines, o...
Article
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Purpose Corporate social responsibility (CSR) communication is becoming increasingly important for brands and companies. Social media such as Twitter may be platforms particularly suited to this topic, given their ability to foster dialogue and content diffusion. The purpose of this paper is to investigate factors driving the effectiveness of CSR c...
Article
Disembodied conversational agents in the form of chatbots are increasingly becoming a reality on social media and messaging applications, and are a particularly pressing topic for service encounters with companies. Adopting an experimental design with actual chatbots powered with current technology, this study explores the extent to which human-lik...
Article
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Using a sample of over 5300 tweets from top global brands, this study investigated how different types of users can influence brand content diffusion via retweets. Twitter users who influenced followers to retweet brand content were categorized as (1) influentials, because of their above average ability to influence others to retweet their tweets (...
Article
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Given the importance of survey measures of online media use for communication research, it is crucial to assess and improve their quality, in particular because the increasingly fragmented and ubiquitous usage of internet complicates the accuracy of self-reported measures. This study contributes to the discussion regarding the accuracy of self-repo...
Article
How do certain cues influence pass-along behavior (re-Tweeting) of brand messages on Twitter? Analyzing 19,343 global brand messages over a three-year period, the authors of this article found that informational cues were predictors of higher levels of re-Tweeting, particularly product details and links to a brand's website, social network sites, a...
Article
Purpose – This study focuses on how brands participate in social network sites (SNSs) and investigates both the different strategies they adopt and the factors that influence these strategies. Design/methodology/approach – The activities of top brands in SNSs were investigated through a content analysis of brand web sites in three countries, measu...
Article
Full-text available
This study aims to contribute to an emerging literature that seeks to understand how identity markers on social networking sites (SNSs) shape interpersonal impressions, and particularly the boundaries that SNSs present for articulating unconstrained "hoped-for possible selves." An experiment employing mock-up Facebook profiles was conducted, showin...

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