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Innovators in digital news
News organisations are struggling with technology transitions and fearful for their future. Yet some organisations are succeeding. Why are organisations such as Vice and BuzzFeed investing in journalism and why are pedigree journalists joining them? Why are news organisations making journalists redundant but recruiting technologists? Why does everyone seem to be embracing native advertising? Why are some news organisations more innovative than others? Drawing on extensive first-hand research this book explains how different international media organisations approach digital news and pinpoints the common organisational factors that help build their success.
Book
Negotiated Autonomy: The Role of Social Media Algorithms in Editorial Decision Making
Social media platforms have increasingly become an important way for news organizations to distribute content to their audiences. As news organizations relinquish control over distribution, they may feel the need to optimize their content to align with platform logics to ensure economic sustainability. However, the opaque and often proprietary nature of platform algorithms makes it hard for news organizations to truly know what kinds of content are preferred and will perform well. Invoking the concept of algorithmic ‘folk theories,’ this article presents a study of in-depth, semi-structured interviews with 18 U.S.-based news journalists and editors to understand how they make sense of social media algorithms, and to what extent this influences editorial decision making. Our findings suggest that while journalists’ understandings of platform algorithms create new considerations for gatekeeping practices, the extent to which it influences those practices is often negotiated against traditional journalistic conceptions of newsworthiness and journalistic autonomy.
Journal Article
The Language of Trauma in the Psalms
Over the last few decades, the field of trauma studies has shed new light on biblical texts that deal with individual and collective catastrophe. In The Language of Trauma in the Psalms , Danilo Verde advances the conversation, moving beyond the emphasis on healing that prevails in most literary trauma studies.
Using the lens of cognitive linguistics and combining insights from trauma studies and redaction criticism, Verde explores how trauma is expressed linguistically in the book of Psalms, how trauma-related language was rooted in ancient Israel’s external realities, and how psalms helped define Yehud’s cultural trauma in the Persian period (539–331 BCE). Rather than assuming the psalmists’ personal experiences are reflected in these texts, Verde focuses on the linguistic strategies used to express trauma in the Psalms, especially references to the body and highly dramatic metaphors. Current analyses often approach trauma texts as tools intended to help sufferers heal. Verde contends that many group laments in the book of Psalms were transmitted not only to heal but also to wound the community, ensuring that the pain of a previous generation was not forgotten.
The Language of Trauma in the Psalms shifts our understanding of trauma in biblical texts and will appeal to literary trauma scholars as well as those interested in ancient Israel.
eBook
Optimizing Content with A/B Headline Testing: Changing Newsroom Practices
Audience analytics are an increasingly essential part of the modern newsroom as publishers seek to maximize the reach and commercial potential of their content. On top of a wealth of audience data collected, algorithmic approaches can then be applied with an eye towards predicting and optimizing the performance of content based on historical patterns. This work focuses specifically on content optimization practices surrounding the use of A/B headline testing in newsrooms. Using such approaches, digital newsrooms might audience-test as many as a dozen headlines per article, collecting data that allows an optimization algorithm to converge on the headline that is best with respect to some metric, such as the click-through rate. This article presents the results of an interview study which illuminate the ways in which A/B testing algorithms are changing workflow and headline writing practices, as well as the social dynamics shaping this process and its implementation within US newsrooms.
Journal Article
An analysis of cognitive assessment readability toward biology learning outcome and process evaluation course
Knowledge-based assessment which is constructed into mid-term exam items is validated by expert lecturer as good validity as the verdict. Readability analysis was conducted as the next step to see how practical knowledge assessment based on KKNI is by some students who have completed Biology process evaluation and study result courses with high, average, and low competency. Items readability helps us to see the students' ability to comprehend items redaction to answer them. The purpose of this research is to analyze KKNI-based knowledge-based assessment. The research method used in this research is analytical descriptive. Mid-term and term test items, as well as knowledge-based assessment readability questionnaire, are used as research instruments. The data analysis technique used is the percentage formula. The result shows that the Knowledge-based assessment readability analysis questionnaire is easy enough to understand 74%. Readability based on respondent's questionnaire is very good with 92.23% as a result. Easy to use aspect is 96.15%; time allocated 86.55%, and the visual aspect 100%. In a conclusion, the readability of KKNI-based knowledge-based assessment of the Biology Evaluation Process and Learning Outcome is easy to understand and able to be used by the student in answering mid-term and end of semester test items.
Journal Article
Innovators in Digital News
News organisations are struggling with technology transitions and fearful for their future. Yet some organisations are succeeding. Why are organisations such as Vice and BuzzFeed investing in journalism and why are pedigree journalists joining them? Why are news organisations making journalists redundant but recruiting technologists? Why does everyone seem to be embracing native advertising? Why are some news organisations more innovative than others? Drawing on extensive first-hand research this book explains how different international media organisations approach digital news and pinpoints the common organisational factors that help build their success.
eBook
A House for the Struggle
Buildings once symbolized Chicago's place as the business capital
of Black America and a thriving hub for Black media. In this
groundbreaking work, E. James West examines the city's Black press
through its relationship with the built environment. As a house for
the struggle, the buildings of publications like Ebony and
the Chicago Defender embodied narratives of racial uplift
and community resistance. As political hubs, gallery spaces, and
public squares, they served as key sites in the ongoing Black quest
for self-respect, independence, and civic identity. At the same
time, factors ranging from discriminatory business practices to
editorial and corporate ideology prescribed their location, use,
and appearance, positioning Black press buildings as sites of both
Black possibility and racial constraint.
Engaging and innovative, A House for the Struggle
reconsiders the Black press's place at the crossroads where
aspiration collided with life in one of America's most segregated
cities.
eBook
Semantics-based sensitive topic diffusion detection framework towards privacy aware online social networks
The advent of sharing sensitive information via Online Social Networks (OSN) has jeopardized the user to the extent that the privacy of millions of OSN users could well be compromised, with their data openly available in the public domain. Evidently, users lack in data privacy and the access control mechanisms available to avoid the risk of disclosure. Therefore a framework that automatically preserves the user privacy to detect sensitive topic and minimize the risk of sensitive information disclosure risk beyond the current privacy sceneries offered by OSN service providers is required. In this paper, we present a three-fold sanitization framework which precisely detects sensitive topics semantically using statistical topic model scheme which incorporates standard knowledge bases for tagging the sensitive topics discovered. The interaction documents from location-of-interest are subjected to SSAR–LDA using Gibbs Sampling to identify sensitive topic clusters with high location entropy. The experimental result shows, (i) the sensitive topic clusters are identified with very high accuracy, (ii) despite the redaction approach, which eliminate the sensitive term, our proposed scheme enhance the privacy preserving policy by replacing the sensitive terms with suitable hierarchical generalization fetched from knowledge bases (iii) the probability of Kullback–Leibler (KL) divergence between sensitive and generalized sanitization terms on Twitter, with negligible information disclosure risk is acceptable, and (iv) the sanitization carried out for 10 sensitive topics, from 4500 user posts of 790 Twitter users, demonstrated high precision and recall, which can be correlated with advanced privacy settings for OSN users in the near future.
Journal Article
Effect of in ovo - injection with Nano-Selenium on hatchability and post-hatch biological parameters in quail
The selenium considered main element for animals and humans and inter in many biological functions that play important rule in maintenance metabolism in thyroid gland and cell growth and antioxidant, also considered of most important element to immune system by activation of the body immune system. The aim of the present study is investigating effects of nano-selenium in-ovo injection on some hatchability indicators, chick quality and its biological parameters for quail egg . One thousand and fifty fertile quail eggs from flock of department of Tikrit Agriculture Research randomly divided into five treatments (210 eggs each). First was normally without injection (negative control), second was injected with demineralized water (positive control) third, fourth and fifth treatments were injection by 10, 20 and 30 µg Nano-Selenium / egg respectively. The result show significantly improvement in hatchability percentage redaction in early and middle embryonic mortality percentage in addition to this significantly amelioration in hatched Chick quality for third treatment that in-ovo injection with (10 µg Nano-Selenium / egg). While showed fifth treatment in-ovo injection with (30 µg Nano-Selenium / egg) redaction in incubation duration accompany with significant increasing in hatched body weight. It is summarized that, in-ovo injection of different levels of nano-selenium can improve hatchability and chick quality
Journal Article