All the Headlines that Are Fit to Change: Analysis of Headline Changes in the Media Industry DOI
Tin Cheuk Leung,

Koleman Strumpf

SSRN Electronic Journal, Год журнала: 2022, Номер unknown

Опубликована: Янв. 1, 2022

We study how the New York Times changes headlines after an article has been published. track 35,000 articles on newspaper's home page between February 2021 and April 2022, find that 10% have immediate headline change while 11% undergo A/B test where two titles are trialed against one another over a short time window. also collect every tweet of in our data. first look at which get some form. Article type matters: popularity Twitter, hard news, negative sentiment headline, mentions from more partisan Twitter accounts associated with changes. Another factor is social pressure, tweets users connected to reporter or newspaper, leads lesser extent tests. Next we examine impact article's performance metrics. After accounting for selection, increase popularity. There evidence liberal political slant when it tweeted. analyze Wall Street Journal shorter period, comparable behavior. Our results implications distinguishing supply demand driven models media bias, digitization may foster consolidation, conditions under economic motives drive newspaper decision-making.

Язык: Английский

All the Headlines that Are Fit to Change: Analysis of Headline Changes in the Media Industry DOI
Tin Cheuk Leung,

Koleman Strumpf

SSRN Electronic Journal, Год журнала: 2022, Номер unknown

Опубликована: Янв. 1, 2022

We study how the New York Times changes headlines after an article has been published. track 35,000 articles on newspaper's home page between February 2021 and April 2022, find that 10% have immediate headline change while 11% undergo A/B test where two titles are trialed against one another over a short time window. also collect every tweet of in our data. first look at which get some form. Article type matters: popularity Twitter, hard news, negative sentiment headline, mentions from more partisan Twitter accounts associated with changes. Another factor is social pressure, tweets users connected to reporter or newspaper, leads lesser extent tests. Next we examine impact article's performance metrics. After accounting for selection, increase popularity. There evidence liberal political slant when it tweeted. analyze Wall Street Journal shorter period, comparable behavior. Our results implications distinguishing supply demand driven models media bias, digitization may foster consolidation, conditions under economic motives drive newspaper decision-making.

Язык: Английский

Процитировано

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