Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs external link

Bastian, M., Helberger, N. & Makhortykh, M.
Digital Journalism, 2021

Abstract

In contrast to the extensive debate on the influence of algorithmic news recommenders (ANRs) on individual news diets, the interaction between such systems and journalistic norms and missions remain under-studied. The change in the relationship between journalists and the audience caused by the transition to personalized news delivery has profound consequences for the understanding of what journalism should be. To investigate how media practitioners perceive the impact of ANRs on their professional norms and media organizations’ missions, and how these norms and missions can be integrated into ANR design, this article looks at two quality newspapers from the Netherlands and Switzerland. Using an interview-based approach conducted with practitioners in different departments (e.g. journalists, data scientists, and product managers), it explores how ANRs interact with organization-centred and audience-centred journalistic values. The paper’s findings indicate a varying degree of prominence for specific values between individual practitioners in the context of their perception of ANRs. At the same time, the paper also reveals that some organization-centred (e.g. transparency) and most audience-centred (e.g. usability) values are viewed as prerequisites for successful ANR design by practitioners with different professional backgrounds.

algorithmic news recommenders, algoritmen, frontpage, Journalistiek, Mediarecht

Bibtex

Article{Bastian2021, title = {Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs}, author = {Bastian, M. and Helberger, N. and Makhortykh, M.}, url = {https://www.tandfonline.com/doi/full/10.1080/21670811.2021.1912622}, doi = {https://doi.org/https://doi.org/10.1080/21670811.2021.1912622}, year = {0729}, date = {2021-07-29}, journal = {Digital Journalism}, abstract = {In contrast to the extensive debate on the influence of algorithmic news recommenders (ANRs) on individual news diets, the interaction between such systems and journalistic norms and missions remain under-studied. The change in the relationship between journalists and the audience caused by the transition to personalized news delivery has profound consequences for the understanding of what journalism should be. To investigate how media practitioners perceive the impact of ANRs on their professional norms and media organizations’ missions, and how these norms and missions can be integrated into ANR design, this article looks at two quality newspapers from the Netherlands and Switzerland. Using an interview-based approach conducted with practitioners in different departments (e.g. journalists, data scientists, and product managers), it explores how ANRs interact with organization-centred and audience-centred journalistic values. The paper’s findings indicate a varying degree of prominence for specific values between individual practitioners in the context of their perception of ANRs. At the same time, the paper also reveals that some organization-centred (e.g. transparency) and most audience-centred (e.g. usability) values are viewed as prerequisites for successful ANR design by practitioners with different professional backgrounds.}, keywords = {algorithmic news recommenders, algoritmen, frontpage, Journalistiek, Mediarecht}, }

Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions external link

Helberger, N., Huh, J., Milne, G. & Strycharz, J.
Journal of Advertising, vol. 49, num: 4, pp: 377-393, 2020

Abstract

To advance the emerging research field of computational advertising this article describes the new computational advertising ecosystem, identifies key actors within it and interactions among them, and discusses future research agendas. Specifically, we propose systematic conceptualization for the redefined advertising industry, consumers, government, and technology environmental factors, and discuss emerging and anticipated tensions that arise in the macro and exogenous factors surrounding the new computational advertising industry, leading to suggestions for future research directions. From multidisciplinary angles, areas of tension and related research questions are explored from advertising, business, computer science, and legal perspectives. The proposed research agendas include exploring transparency of computational advertising practice and consumer education; understanding the trade-off between explainability and performance of algorithms; exploring the issue of new consumers as free data laborers, data as commodity, and related consumer agency challenges; understanding the relationship between algorithmic transparency and consumers’ literacy; evaluating the trade-off between algorithmic fairness and privacy protection; examining legal and regulatory issues regarding power imbalance between actors in the computational advertising ecosystem; and studying the trade-off between technological innovation and consumer protection and empowerment.

algoritmen, consumentenbescherming, Consumentenrecht, frontpage, Privacy, reclamerecht

Bibtex

Article{Helberger2020h, title = {Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions}, author = {Helberger, N. and Huh, J. and Milne, G. and Strycharz, J.}, doi = {https://doi.org/https://doi.org/10.1080/00913367.2020.1811179}, year = {0911}, date = {2020-09-11}, journal = {Journal of Advertising}, volume = {49}, number = {4}, pages = {377-393}, abstract = {To advance the emerging research field of computational advertising this article describes the new computational advertising ecosystem, identifies key actors within it and interactions among them, and discusses future research agendas. Specifically, we propose systematic conceptualization for the redefined advertising industry, consumers, government, and technology environmental factors, and discuss emerging and anticipated tensions that arise in the macro and exogenous factors surrounding the new computational advertising industry, leading to suggestions for future research directions. From multidisciplinary angles, areas of tension and related research questions are explored from advertising, business, computer science, and legal perspectives. The proposed research agendas include exploring transparency of computational advertising practice and consumer education; understanding the trade-off between explainability and performance of algorithms; exploring the issue of new consumers as free data laborers, data as commodity, and related consumer agency challenges; understanding the relationship between algorithmic transparency and consumers’ literacy; evaluating the trade-off between algorithmic fairness and privacy protection; examining legal and regulatory issues regarding power imbalance between actors in the computational advertising ecosystem; and studying the trade-off between technological innovation and consumer protection and empowerment.}, keywords = {algoritmen, consumentenbescherming, Consumentenrecht, frontpage, Privacy, reclamerecht}, }

Does everyone have a price? Understanding people’s attitude towards online and offline price discrimination external link

Internet Policy Review, vol. 8, num: 1, 2019

Abstract

Online stores can present a different price to each customer. Such algorithmic personalised pricing can lead to advanced forms of price discrimination based on the characteristics and behaviour of individual consumers. We conducted two consumer surveys among a representative sample of the Dutch population (N=1233 and N=1202), to analyse consumer attitudes towards a list of examples of price discrimination and dynamic pricing. A vast majority finds online price discrimination unfair and unacceptable, and thinks it should be banned. However, some pricing strategies that have been used by companies for decades are almost equally unpopular. We analyse the results to better understand why people dislike many types of price discrimination.

algoritmen, Consumentenrecht, frontpage, Price discrimination

Bibtex

Article{Poort2019b, title = {Does everyone have a price? Understanding people’s attitude towards online and offline price discrimination}, author = {Poort, J. and Zuiderveen Borgesius, F.}, url = {https://policyreview.info/articles/analysis/does-everyone-have-price-understanding-peoples-attitude-towards-online-and-offline}, year = {0212}, date = {2019-02-12}, journal = {Internet Policy Review}, volume = {8}, number = {1}, pages = {}, abstract = {Online stores can present a different price to each customer. Such algorithmic personalised pricing can lead to advanced forms of price discrimination based on the characteristics and behaviour of individual consumers. We conducted two consumer surveys among a representative sample of the Dutch population (N=1233 and N=1202), to analyse consumer attitudes towards a list of examples of price discrimination and dynamic pricing. A vast majority finds online price discrimination unfair and unacceptable, and thinks it should be banned. However, some pricing strategies that have been used by companies for decades are almost equally unpopular. We analyse the results to better understand why people dislike many types of price discrimination.}, keywords = {algoritmen, Consumentenrecht, frontpage, Price discrimination}, }

Algoritmische verzuiling en filter bubbles: een bedreiging voor de democratie? external link

Zuiderveen Borgesius, F., Trilling, D., Möller, J., Eskens, S., Bodó, B., Vreese, C.H. de & Helberger, N.
Computerrecht, vol. 2016, num: 5, pp: 255-262, 2016

algoritmen, democratie, filter bubbles, nieuws, personalisatie

Bibtex

Article{Borgesius2016b, title = {Algoritmische verzuiling en filter bubbles: een bedreiging voor de democratie?}, author = {Zuiderveen Borgesius, F. and Trilling, D. and Möller, J. and Eskens, S. and Bodó, B. and Vreese, C.H. de and Helberger, N.}, url = {https://www.ivir.nl/publicaties/download/Computerrecht_2016_5.pdf}, year = {1003}, date = {2016-10-03}, journal = {Computerrecht}, volume = {2016}, number = {5}, pages = {255-262}, keywords = {algoritmen, democratie, filter bubbles, nieuws, personalisatie}, }