Weather forecasts - the islands of calmness in the rough TV sea

<p>People who are not involved in doing Weather forecast presentations, think that it is something easy to prepare. But it needs experience to present the weather data and forecast, which is scientific information in a way understandable for the TV viewers. Weather forecasts have always been islands of positive emotions in TV programs. </p><p>The past year was very challeging for all TV stations around the world. In all the news and TV shows the main topic was Coronavirus disease. Now, more than ever TV weather forecast's role became to provide some positive emotions to the people who are so much got tired of the bad and scary news on their TVs. The fact is that during the pandemic the TV ratings are higher made our responsibility even bigger.<br><br>While preparing my weather presentations, even in cases of severe weather my top priority was not to scare people, who were scared enough. When showing weather videos, I avoided such with disasters. Instead I showed more wildlife and educational weather videos. Unlike before, in 2020/2021 years I definitely avoided climate change topic. <br><br>While chatting about weather on air with the news and morning shows anchors, the chat had sometimes escalated to bursting into laughter. Unlike before, our viewers approved that highly, because everybody is under pressure now and such stress release things were more than welcome. The weather forecast now became more than ever an island of calmness and hope for a better tomorrow in the rough TV sea.<br><br>I want to share my experience and to exchange opinion on that topic with collegues from other countries and TV stations.<br><br></p>

Interdependent relation between earned media and TV ratings

PurposeSocial media (e.g., e-WOM) and traditional media (e.g., media coverage) serve different roles in a firm's marketing activities and also interact with each other, which in turn affect the market outcome. In addition, how market outcome affects the two types of media in turn has not been examined, which brings the need for a holistic framework. The rare study that examines this relation mostly relies on the volume of media rather than the valence. This study examines the interdependent relation between the volume and valence of social media, the volume of traditional media and TV ratings.Design/methodology/approachForty-one South Korean TV drama shows from October 2014 to March 2016 were analyzed using the 3SLS estimation to examine the interdependent relation between the variables.FindingsFirst, the volume of traditional media has a negative effect on the volume of social media. Second, ratings negatively affect the valence of social media. Third, the volume of traditional media is found to have a negative effect on ratings. This is explained by the displacement effect.Originality/valueThis study is one of the very few studies that examine the interdependent relation between various earned media and market outcomes in one framework. In addition, it has originality in that it considers the valence of social media, which is an important dimension in analyzing earned media. Our results show negative effects of news media on TV ratings and e-WOM, which diverge from common intuition.

The Impact of National Anthem Protests on National Football League Television Ratings

The National Football League’s (NFL) television ratings decreased by approximately 8% during the 2016 season, then a further 10% the following season. These declines coincided with league-wide national anthem protests initiated by Colin Kaepernick at the beginning of the 2016 season. Existing research identifies many determinants of demand for sporting events, but athletes’ protests are seldom considered. We use detailed data on players’ protests and television ratings to construct a new, game-level panel for the four NFL seasons between 2014 and 2017. Our results show protests are statistically significantly associated with lower TV ratings, but the economic magnitude is relatively muted.

Learning from lines: Critical COVID data visualizations and the quarantine quotidian

In response to the ubiquitous graphs and maps of COVID-19, artists, designers, data scientists, and public health officials are teaming up to create counter-plots and subaltern maps of the pandemic. In this intervention, we describe the various functions served by these projects. First, they offer tutorials and tools for both dataviz practitioners and their publics to encourage critical thinking about how COVID-19 data is sourced and modeled—and to consider which subjects are not interpellated in those data sets, and why not. Second, they demonstrate how the pandemic’s spatial logics inscribe themselves in our immediate material landscapes. And third, they remind us of our capacity to personalize and participate in the creation of meaningful COVID visualizations—many of which represent other scales and dimensions of the pandemic, especially the quarantine quotidian. Together, the official maps and counter-plots acknowledge that the pandemic plays out differently across different scales: COVID-19 is about global supply chains and infection counts and TV ratings for presidential press conferences, but it is also about local dynamics and neighborhood mutual aid networks and personal geographies of mitigation and care.

Playing with history and tradition: television educational programs in contemporary China

TV educational programs mushroomed in China in the 1990s and beyond. They combined education and entertainment, and for the first time in Communist Chinese history, used TV ratings to determine the continued existence of these programs. This article addresses the predominant focus on history and traditional learning in the lectures at the most famous of these programs, China Central Television’s Lecture Room (baijiajiangtan) since its inception in 2001. Borrowing Pierre Bourdieu’s concept of habitus, it studies how a confluence of state policies, TV station decisions, market imperatives, and educators who presided over the programs created, through storytelling, a modern, open yet culturally conservative world, to keep the audience oriented to modern ideas and practices while deterring excessive individualism or freedom, and a vibrant social milieu favorable to these ideas and practices through audience input via TV program ratings.

Detecting falsification in a television audience measurement panel survey

Case studies reporting real-world experiences with survey falsification are uncommon. In this article, we document the experience of a panel survey in India that produced TV viewing estimates (“TV ratings”) where external parties were illegitimately trying to influence respondents’ behavior. The usual method to detect possible falsifications was that of analysts poring through data to find suspicious viewing patterns. Here, we develop a method using multilevel models and illustrate its use in the detection of an actual incident. We report how the model-based method was used to direct on-ground investigations that ultimately supported our analytic inferences. The model-based method offers four advantages over the usual method. First, by approximating an interpenetrated sample, the model simultaneously controls for several household characteristics. Second, Empirical Best Linear Unbiased Predictors (EBLUPs) of random effects can be examined separately at both the household and interviewer level, thus suggesting where further investigation efforts should be directed. Third, the method is faster and more objective than the usual method. Fourth, the method is easily implemented and can provide regular quality control for survey organizations.