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Our understanding of history is often mediated by popular culture, and television series set in the past have provided some of our most indelible images of previous times. Yet such historical television programs always reveal just as much about the era in which they are produced as the era in which they are set; there are few more quintessentially late-90s shows than That '70s Show, for example.  From Memory to History takes readers on a journey through over fifty years of historical dramas and sitcoms that were set in earlier decades of the twentieth century. Along the way, it explores how comedies like M*A*S*H and Hogan's Heroes offered veiled commentary on the Vietnam War, how dramas ranging like Mad Men echoed current economic concerns, and how The Americans and Halt and Catch Fire used the Cold War and the rise of the internet to reflect upon the present day. Cultural critic Jim Cullen is lively, informative, and incisive, and this book will help readers look at past times, present times, and prime time in a new light.

The year 2016 marks twenty years since the enactment of the Federal Telecommunications Act and the Telecommunications Act of Puerto Rico, both of which defined the legal framework for telecommunications and cable television in the Commonwealth of Puerto Rico, a non-incorporated territory of the United States. This study is based on media economics and historical methods to examine the processes of globalization and concentration in the pay television market in Puerto Rico between 1996 and 2015. The article is intended to answer the following questions: What role has regulation played in the processes of globalization and concentration in the cable television market in Puerto Rico? What is the corporate profile of the leading pay television companies? What changes did the structure of the pay television market undergo? What was the state of pay television in Puerto Rico in 2015? Drawing from the state telecommunications regulator's data, the analysis' findings show a market where globalization and concentration of ownership, as economic processes, were intertwined trends, and different types of companies (e.g., U.S.-based telecommunications companies, U.S.-based financial investments companies, transnational media companies, and transnational telecommunications companies) with different television delivery systems (e.g., cable television, satellite television, Internet protocol television, over the top television). The findings also trace the business model evolution of telecommunications and cable companies through the introduction of new services such as VoIP telephony, Internet access service, Internet protocol television; the reduction in the cable television subscriber base, and ending of local companies' participation in the cable television industry. [Keywords: Puerto Rico, Pay Television, Telecommunications, Media, Cable television, Globalization]

Ideological media bias is increasingly central to the study of politics. Yet, past literature often assumes that the ideological bias of any outlet, at least in the short term, is static and exogenous to the political process. We challenge this assumption. We use longitudinal data from the Stanford Cable News Analyzer (2010 to 2021), which reports the screen time of various political actors on cable news, and quantify the partisan leaning of those actors using their past campaign donation behavior. Using one instantiation of media bias-the mean ideology of political actors on a channel, i.e., visibility bias-we examine weekly, within-day, and program-level estimates of media bias. We find that media bias is highly dynamic even in the short term and that the heightened polarization between TV channels over time was mostly driven by the prime-time shows.

Multiple system atrophy is a rare, fatal neurodegenerative disorder with symptoms of autonomic failure plus parkinsonism, cerebellar ataxia, or both. We report results of the first prospective natural history study of multiple system atrophy in the USA, and the effects of phenotype and autonomic failure on prognosis. We recruited participants with probable multiple system atrophy—of either the parkinsonism subtype (MSA-P) or the cerebellar ataxia subtype (MSA-C)—at 12 neurology centres in the USA specialising in movement or autonomic disorders. We followed up patients every 6 months for 5 years and assessed them with the Unified Multiple System Atrophy Rating Scale part I (UMSARS I; a functional score of symptoms and ability to undertake activities of daily living), UMSARS II (neurological motor evaluation), and the Composite Autonomic Symptoms Scale (COMPASS)-select (a measure of autonomic symptoms and autonomic functional status). We assessed potential predictors of outcome. We used Cox proportional hazards models to calculate univariate hazard ratios for shorter survival using age at disease onset as a continuous variable and sex, clinical phenotype, and early development of neurological and autonomic manifestations as categorical variables. We recruited 175 participants. Mean age at study entry was 63·4 years (SD 8·6). Median survival from symptom onset was 9·8 years (95% CI 8·8–10·7) and median survival from enrolment was 1·8 years (0·9–2·7). Participants with severe symptomatic autonomic failure (symptomatic orthostatic hypotension, urinary incontinence, or both) at diagnosis (n=62) had a worse prognosis than those without severe disease (n=113; median survival 8·0 years, 95% CI 6·5–9·5 vs 10·3 years, 9·3–11·4; p=0·021). At baseline, patients with MSA-P (n=126) and MSA-C (n=49) had much the same symptoms and functional status: mean UMSARS I 25·2 (SD 8·08) versus 24·6 (8·34; p=0·835); mean UMSARS II 26·4 (8·8) versus 25·4 (10·5; p=0·764); COMPASS-select 43·5 (18·7) versus 42·8 (19·6; p=0·835). Progression over 5 years, assessed by change in UMSARS I, UMSARS II, and COMPASS-select, was modest. Probable multiple system atrophy is a late-stage disease with short survival. The natural histories of MSA-P and MSA-C are similar and severe symptomatic autonomic failure at diagnosis is associated with worse prognosis. US National Institutes of Health, Mayo Clinic, and Kathy Shih Memorial Foundation.

Cable and satellite television have spread rapidly throughout the developing world. These media sources expose viewers to new information about the outside world and other ways of life, which may affect attitudes and behaviors. This paper explores the effect of the introduction of cable television on women's status in rural India. Using a three-year, individual-level panel data set, we find that the introduction of cable television is associated with significant decreases in the reported acceptability of domestic violence toward women and son preference, as well as increases in women's autonomy and decreases in fertility. We also find suggestive evidence that exposure to cable increases school enrollment for younger children, perhaps through increased participation of women in household decision making. We argue that the results are not driven by preexisting differential trends.

To evaluate the effects of Chile's 2016 regulation restricting child-directed marketing of products high in energy, saturated fats, sodium and sugars on reducing children's exposure to 'high-in' television food advertising. Television use by pre-schoolers and adolescents was assessed via surveys in the months prior to implementation and a year after implementation. Hours and channels of television use were linked with the amount of high-in food advertising observed in corresponding content analyses of food advertisements (ads) from popular broadcast and cable channels to estimate changes in exposure to food ads from these channels. Middle-lower and lower-income neighbourhoods in Santiago, Chile. Pre-schoolers (n 879; mothers reporting) and adolescents (n 753; self-reporting). Pre-schoolers' and adolescents' exposure to high-in food advertising in total decreased significantly by an average of 44 and 58 %, respectively. Exposure to high-in food advertising with child-directed appeals, such as cartoon characters, decreased by 35 and 52 % for pre-schoolers and adolescents, respectively. Decreases were more pronounced for children who viewed more television. Products high in sugars were the most prevalent among the high-in ads seen by children after implementation. Following Chile's 2016 child-directed marketing regulation, children's exposure to high-in food advertising on popular broadcast and cable television decreased significantly but was not eliminated from their viewing. Later stages of the regulation are expected to eliminate the majority of children's exposure to high-in food advertising from television.

Partisans hold unfavorable views of media they associate with the other party. They also avoid out-party news sources. We link these developments and argue that partisans assess out-party media based on negative and inaccurate stereotypes. This means cross-cutting exposure that challenges these misperceptions can improve assessments of out-party media. To support this argument, we use survey-linked web browsing data to show that the public has hostile views of out-party news sources they rarely encounter. We conduct three survey experiments that demonstrate cross-cutting exposure to nonpolitical or neutral political stories, forms of news widely available from online partisan sources, reduces oppositional media hostility. This explains how perceptions of rampant bias from out-party media coexist with more modest differences in the online content of major partisan news outlets. More broadly, we illustrate how negative misperceptions can sustain animus towards an out-group when people avoid encounters with them.

We measure the welfare distortions from endogenous quality choice in imperfectly competitive markets. For US cable television markets between 1997–2006, prices are 33 percent to 74 percent higher and qualities 23 percent to 55 percent higher than socially optimal. Such quality overprovision contradicts classic results in the literature and our analysis shows that it results from the presence of competition from high-end satellite TV providers: without the competitive pressure from satellite companies, cable TV monopolists would instead engage in quality degradation. For welfare, quality overprovision implies cable customers would prefer smaller, lower-quality cable bundles at a lower price, amounting to a twofold increase in consumer surplus for the average consumer.

We measure how the bundling of television channels affects short-run welfare. We estimate an industry model of viewership, demand, pricing, bundling, and input-market bargaining using data on ratings, purchases, prices, bundles, and input costs. We conduct simulations of à la carte policies that require distributors to offer individual channels for sale to consumers. We estimate that negotiated input costs rise by 103.0 percent under à la carte. These higher input costs offset consumer benefits from purchasing individual channels. Mean consumer and total surplus change by an estimated — 5.4 to 0.2 percent and — 1.7 to 6.0 percent, respectively.

In recent years, the volume of textual data has rapidly increased, which has generated a valuable resource for extracting and analysing information. To retrieve useful knowledge within a reasonable time period, this information must be summarised. This paper reviews recent approaches for abstractive text summarisation using deep learning models. In addition, existing datasets for training and validating these approaches are reviewed, and their features and limitations are presented. The Gigaword dataset is commonly employed for single-sentence summary approaches, while the Cable News Network (CNN)/Daily Mail dataset is commonly employed for multisentence summary approaches. Furthermore, the measures that are utilised to evaluate the quality of summarisation are investigated, and Recall-Oriented Understudy for Gisting Evaluation 1 (ROUGE1), ROUGE2, and ROUGE-L are determined to be the most commonly applied metrics. The challenges that are encountered during the summarisation process and the solutions proposed in each approach are analysed. The analysis of the several approaches shows that recurrent neural networks with an attention mechanism and long short-term memory (LSTM) are the most prevalent techniques for abstractive text summarisation. The experimental results show that text summarisation with a pretrained encoder model achieved the highest values for ROUGE1, ROUGE2, and ROUGE-L (43.85, 20.34, and 39.9, respectively). Furthermore, it was determined that most abstractive text summarisation models faced challenges such as the unavailability of a golden token at testing time, out-of-vocabulary (OOV) words, summary sentence repetition, inaccurate sentences, and fake facts.