The Impact of Aggregators on Internet News Consumption

Athey, Susan; Möbius, Markus; Pál, Jenő

doi:10.3386/w28746

Cited by 43 publications

(51 citation statements)

References 5 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A recent series of empirical papers examine the impact of aggregators on the news industry. Using disputes between Google News and Spanish publishers (Athey, Mobius, and Pal, 2017;Calzada and Gil, 2016) or the Associated Press (Chiou and Tucker, 2017), empirical research finds that Google News increases overall news consumption. In particular, Athey, Mobius, and Pal (2017) document that this effect is mostly present for small publishers, who cannot rely on brand recognition to attract users and therefore benefit most from the aggregator.…”

Section: Relevant Literaturementioning

confidence: 99%

“…Using disputes between Google News and Spanish publishers (Athey, Mobius, and Pal, 2017;Calzada and Gil, 2016) or the Associated Press (Chiou and Tucker, 2017), empirical research finds that Google News increases overall news consumption. In particular, Athey, Mobius, and Pal (2017) document that this effect is mostly present for small publishers, who cannot rely on brand recognition to attract users and therefore benefit most from the aggregator. In relation to the theoretical work on aggregators, these papers suggest that the demand-expansion effect of aggregators dominates.…”

Section: Relevant Literaturementioning

confidence: 99%

See 1 more Smart Citation

Social Media and News: Content Bundling and News Quality

Cornière

Sárváry

2023

Management Science

View full text Add to dashboard Cite

The growing influence of internet platforms acting as content aggregators is one of the most important challenges facing the media industry. We develop a simple model to understand the impact of third-party content bundling by a social platform that has a monopoly on showing user-generated content to consumers. In our model, consumers can access news either directly through a newspaper’s website or indirectly through a platform, which also offers social content. We show that content bundling, when unilaterally implemented by the platform, tends to harm publishers and to increase the dispersion of quality across outlets, with initially high-quality outlets investing more and low-quality ones investing less. With many heterogenous newspapers, the result is robust even if each newspaper can prevent the platform from using its content. When content bundling follows an agreement between the platform and publisher, its effects are reversed, as publishers’ profits go up while quality dispersion goes down. In a setup with heterogeneous consumers, we also show that the platform’s ability to personalize the mix of content it shows to users induces publishers to invest more in the quality of their content. This paper was accepted by Dmitri Kuksov, marketing.

show abstract

Section: Relevant Literaturementioning

confidence: 99%

Section: Relevant Literaturementioning

confidence: 99%

Social Media and News: Content Bundling and News Quality

Cornière

Sárváry

2023

Management Science

View full text Add to dashboard Cite

show abstract

“…Mullainathan and Spiess [2017] focus on the benefits of supervised learning methods for regression, and discuss the prevalence of problems in economics where prediction methods are appropriate. Athey [2017] and Athey et al [2017c] provides a broader perspective with more emphasis on recent developments in adapting ML methods for causal questions and general implications for economics. Gentzkow et al [2017] provide an excellent recent discussion of methods for text analyses with a focus on economics applications.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Methods That Economists Should Know About

2019

Self Cite

View full text Add to dashboard Cite

We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and settings between the ML literature and the traditional econometrics and statistics literatures. Then we discuss some specific methods from the ML literature that we view as important for empirical researchers in economics. These include supervised learning methods for regression and classification, unsupervised learning methods, and matrix completion methods. Finally, we highlight newly developed methods at the intersection of ML and econometrics that typically perform better than either off-the-shelf ML or more traditional econometric methods when applied to particular classes of problems, including causal inference for average treatment effects, optimal policy estimation, and estimation of the counterfactual effect of price changes in consumer choice models.

show abstract

“…Há países que regulamentaram a remuneração da mídia tradicional como compensação pela circulação do conteúdo jornalístico, como Alemanha, Espanha e mais, recentemente, a Austrália (é o chamado link tax). A medida é polêmica e marcada por uma série de efeitos paradoxais(Athey et al, 2017).…”

unclassified

Desinformação política, mídias digitais e democracia: Como e por que as fake news funcionam?

Bachur¹

2021

RDP

View full text Add to dashboard Cite

A desinformação é hoje objeto de intenso debate, principalmente por conta dos riscos à democracia. Os contornos do fenômeno, contudo, remanescem relativamente imprecisos. Desinformação é comumente associada à mentira ou à liberdade de expressão. O artigo sustenta que a desinformação deve ser entendida como operação social, e não como conduta individual: ela orienta o comportamento humano, a despeito da falsidade, ao permitir uma atribuição de sentido ao mundo. Como isso acontece? Para responder a essa pergunta, o trabalho integra quatro eixos de análise: (i) a fragmentação da esfera pública permite compreender o ambiente em que se desenvolve a ubiquidade das novas mídias digitais; (ii) o modelo de negócios baseado no engajamento on-line reverte características básicas da esfera pública: a integração de pontos de vista conflitantes; (iii) essa reversão produz efeitos para o indivíduo que simulam o comportamento de massa (contágio emocional e suspensão da racionalidade); e (iv) a reiteração de um enunciado linguístico produz um “efeito-verdade” para a desinformação ao permitir que o destinatário use o enunciado para atribuir sentido ao mundo. O artigo propõe uma sociologia interdisciplinar da desinformação, oferecendo uma descrição inédita e precisa dos processos sociais que estruturam o fenômeno.

show abstract

The Impact of Aggregators on Internet News Consumption

Cited by 43 publications

References 5 publications

Social Media and News: Content Bundling and News Quality

Social Media and News: Content Bundling and News Quality

Machine Learning Methods That Economists Should Know About

Desinformação política, mídias digitais e democracia: Como e por que as fake news funcionam?

Contact Info

Product

Resources

About