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"Min, Seong-Jae"
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As democracy goes, so does journalism : evolution of journalism in liberal, deliberative, and participatory democracy
\"This book explores the symbiotic relationship between various models of democracy and journalism, including liberal democracy and trustee journalism, deliberative democracy and public journalism, and participatory democracy and citizen journalism\"-- Provided by publisher.
Book
Navigating White News
Combining critical race studies with cultural production studies,
Navigating White News: Asian American Journalists at Work
is the only academic book to examine the ways that racial
identification and activation matters in their understanding of
news. This adds to the existing literature on race and the
sociology of news by examining intra-racial differences in the ways
they navigate and understand White newsrooms. Employing in-depth
interviews with twenty Asian American journalists who are actively
working in large and small newsrooms across the United States,
Navigating White News: Asian American Journalists at Work
argues that Asian American reporters for whom racial identities are
important questioned what counted as news, questioned the
implicitly White perspective of objectivity, and actively worked
toward providing more complex, substantive coverage of Asian
American communities. For Asian American reporters for whom racial
identity was not meaningful, they were more invested in existing
professional norms. Regardless, all journalists understood that
news is a predominantly and culturally White institution.
eBook
Rethinking the New Technology of Journalism
News organizations have always sought to deliver information
faster and to larger audiences. But when clicks drive journalism,
the result is often simplistic, sensational, and error-ridden
reporting. In this book, Seong Jae Min argues in favor of \"slow
journalism,\" a growing movement that aims to produce more
considered, deliberate reporting that better serves the interests
of democracy.
Min explores the role of technology in journalism from the
printing press to artificial intelligence, documenting the hype and
hope associated with each new breakthrough as well as the sometimes
disappointing-and even damaging-unintended consequences. His
analysis cuts through the discussion of clickbait headlines and
social-media clout chasing to identify technological bells and
whistles as the core problem with journalism today. At its heart,
Min maintains, traditional shoe-leather reporting-knocking on
doors, talking to people, careful observation and analysis-is still
the best way for journalism to serve its civic purpose.
Thoughtful and engaging, Rethinking the New Technology of
Journalism is a compelling call for news gathering to return
to its roots. Reporters, those studying and teaching journalism,
and avid consumers of the media will be interested in this
book.
eBook
Classification and automatic scoring of arousal intensity during sleep stages using machine learning
Arousal during sleep can result in sleep fragmentation and various physiological effects, impairing cognitive function and raising blood pressure and heart rate. However, the current definition of arousal has limitations in assessing both amplitude and duration, making it challenging to measure sleep fragmentation accurately. Moreover, there is inconsistency among inter-raters in arousal scoring, which renders it susceptible to subjective variability. Therefore, this study aims to identify a highly accurate classifier for each sleep stage by employing optimized feature selection and machine learning models. According to electroencephalography (EEG) signals during the arousal phase, the intensity level was categorized into four levels. For control, the non-arousal cases were used as level 0 and referred as sham arousal, resulting in five arousal intensity levels. Wavelet transform was applied to analyze sleep arousal to extract features from EEG. Based on these features, we classified arousal intensity levels through machine learning algorithms. Due to the different characteristics of EEG in each sleep stage, the classification model was optimized for the four sleep stages. Excluding sham arousals, a total of 13,532 arousal events were used. The lowest intensity in the entire data, level 1, was computed to be 3107, level 2 was 3384, level 3 was 3472, and the highest intensity of level 4 was 3,569. The optimized classification model for each sleep stage achieved an average sensitivity of 82.68%, specificity of 95.68%, and AUROC of 96.30%. The sensitivity of the control, arousal intensity level 0, was 83.07%, a 1.25% increase over the unoptimized model and a 14.22% increase over previous research. This study used machine learning techniques to develop classifiers for each sleep stage, improving the accuracy of arousal intensity classification. The classifiers showed high sensitivity and specificity and revealed the unique characteristics of arousal intensity during different sleep stages. These findings represent a novel approach to arousal research and have implications for developing more accurate predictive models in sleep research.
Journal Article
Surgical outcome and prognostic factors in epilepsy patients with MR-negative focal cortical dysplasia
Focal cortical dysplasia (FCD) represents a heterogeneous group of disorders of the cortical formation and is one of the most common causes of epilepsy. Magnetic resonance imaging (MRI) is the modality of choice for detecting structural lesions, and the surgical prognosis in patients with MR lesions is favorable. However, the surgical prognosis of patients with MR-negative FCD is unknown. We aimed to evaluate the long-term surgical outcomes and prognostic factors in MR-negative FCD patients through comprehensive presurgical data.
We retrospectively reviewed data from 719 drug-resistant epilepsy patients who underwent resective surgery and selected cases in which surgical specimens were pathologically confirmed as FCD Type I or II. If the epileptogenic focus and surgical specimens were obtained from brain areas with a normal MRI appearance, they were classified as MR-negative FCD. Surgical outcomes were evaluated at 2 and 5 years, and clinical, neurophysiological, and neuroimaging data of MR-negative FCD were compared to those of MR-positive FCD.
Finally, 47 MR-negative and 34 MR-positive FCD patients were enrolled in the study. The seizure-free rate after surgery (Engel classification I) at postoperative 2 year was 59.5% and 64.7% in the MR-negative and positive FCD groups, respectively (p = 0.81). This rate decreased to 57.5% and 44.4% in the MR-negative and positive FCD groups (p = 0.43) at postoperative 5 years. MR-negative FCD showed a higher proportion of FCD type I (87.2% vs. 50.0%, p = 0.001) than MR-positive FCD. Unilobar cerebral perfusion distribution (odds ratio, OR 5.41) and concordance of interictal epileptiform discharges (OR 5.10) were significantly associated with good surgical outcomes in MR-negative FCD.
In this study, MR-negative and positive FCD patients had a comparable surgical prognosis, suggesting that comprehensive presurgical evaluations, including multimodal neuroimaging studies, are crucial for obtaining excellent surgical outcomes even in epilepsy patients with MR-negative FCD.
Journal Article
Deliberation, East meets West: Exploring the cultural dimension of citizen deliberation
The current conceptualization of deliberation may represent Western Enlightenment ideals in that it values rationality, publicity, equality, argumentation and reasoning. This essay explores the potential of deliberative democracy in non-Western contexts, such as the Confucian East Asian societies where it is often considered that the public sphere is less developed and people are reluctant to engage in public argumentation. Herein, several cultural traits of the collectivist East Asian societies relating to deliberation are identified, including the lower value of public talk, the strong influence of social position in talk and the unique traits of their cognitive reasoning processes. Considering these traits, the promises and perils of deliberation in the East Asian context are discussed.
Journal Article
Journalism, Going Slow
Technologies are important in journalism. They change the nature of newswork and sometimes even journalists themselves. They create new markets and revenue and alter audience behavior. Although I argued in chapter 1 that the impact of various technologies on journalism has been gradual and moderated by many different sociocultural factors, technologies like the computer and the internet in the end dramatically changed the way news is produced and consumed—the fate of some newsrooms was heavily influenced by the technologies they adopted. That’s why the discourse of journalistic innovation is full of technological adoption and use, as the previous chapter
Book Chapter
The Journalistic Field and the Narrative of Techno-Journalism
“If you are a journalism educator or media professional, I have news for you: We work in tech,” a journalism professor declared.¹ This claim is not an exaggeration. It is difficult to deny the importance of technology in today’s journalism. After all, many newsrooms have disappeared, failing to adapt to the new digital media landscape, while some tech-savvy news organizations have made strides. Contemporary newsroom management constantly seeks shiny new innovations that may boost their sagging profits, while reporters are asked to be equipped with sophisticated technological skills and regularly attend technology workshops.
Even powerful legacy newsrooms, such as the
Book Chapter
Effects of Different Legume Seeds on Individual Performance in the Bean Bug, Riptortus pedestris (Hemiptera: Alydidae)
The bean bug, Riptortus pedestris (Fabricius), is a serious pest of legume crops in East Asia. Here, we report how the consumption of different types of legume seeds affects various aspects of nymphal and adult traits related to fitness in R. pedestris. Two experiments were conducted. In the first experiment, we assessed how R. pedestris nymphs and adults performed on one of 10 different legume seeds: adzuki bean, chickpea, cowpea, two kidney bean varieties (red, white), mung bean, peanut, small black bean, and two soybean varieties (black, yellow). Riptortus pedestris fed on yellow soybean and chickpea performed well in terms of nymphal survivorship and fecundity. However, R. pedestris fed on two kidney bean varieties suffered 100% nymphal mortality and reduced fecundity. Small black bean and black soybean supported high fecundity, but were not suitable for nymphal development. Lipid content was 4- to 11-folds higher in R. pedestris raised on peanuts than those on the others. In the second experiment, we recorded the key parameters of adult performance from R. pedestris assigned to one of nine combinations of three nymphal and three adult diets (yellow soybean, adzuki bean, peanut). Riptortus pedestris raised on yellow soybean during development produced more eggs over their lifetime than those raised on the others. However, this beneficial effect of consuming yellow soybean during development occurred only when yellow soybean was consumed during adulthood. Our data have implications for predicting the occurrence and population dynamics of this pest.
Journal Article
Conclusion
In the middle of the COVID-19 pandemic in 2020, the Washington Post published a stunning interactive visualization in which moving dots represented people in a city.¹ The dots were color-coded, so that gray represented uninfected ones, red represented infected ones, and pink represented those who had acquired immunity. The simulator showed that whenever a red dot touched a gray dot, the gray turned red, which made it abundantly clear that without social distancing and other intervention measures, the whole field quickly became full of red dots. It was informative and interesting, and it transmitted important messages about public health. Mesmerized,
Book Chapter