Forecasting Television Audience Trends for Romanian News Channels Using the ARIMA Model

Săseanu Ramona (), Strîmbeanu Ana-Maria () and Barbu Alexandra ()
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Săseanu Ramona: University of Craiova, Craiova, Romania
Strîmbeanu Ana-Maria: Bucharest University of Economic Studies, Bucharest, Romania
Barbu Alexandra: Bucharest University of Economic Studies, Bucharest, Romania

Proceedings of the International Conference on Business Excellence, 2025, vol. 19, issue 1, 2162-2177

Abstract: This research seeks to provide a thorough analysis of the broadcast reach of the leading news programs from five major television stations in Romania: TVR, PRO TV, Antena 1, Kanal D, and Prima TV, spanning the years 2018 to 2022. News journals are essential in educating the public and shaping opinions, making it essential to comprehend the behavior and preferences of viewers. By examining past data and applying prediction techniques, the study aims to uncover trends and patterns in audience dynamics. Using the ARIMA model, the research predicts audience performance and compares the forecast with actual data from 2023, evaluating the accuracy. The results offer valuable insights for those involved in the television industry, such as media professionals and stakeholders who can strategically plan and develop content in a way that is beneficial to their organization and to the wider public. As a result of the deeper understanding of audience scope, the study establishes a robust framework for future media analytics studies.

Keywords: audience dynamics; forecasting techniques; ARIMA model; news (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:19:y:2025:i:1:p:2162-2177:n:1016

DOI: 10.2478/picbe-2025-0168

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