News Content Extraction
Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats …
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🤖 It looks like you’ve uploaded several image files. I’ll extract the text from each of the images you’ve provided.
Starting with the first image:
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**Image 1:**
Social studies of news in contexts across the world are interested in how contemporary newsmaking practices are transforming the institution of news—drawing it away from its normatively imagined role as the public’s provider of truthful and important information, and seeding new notions and sensibilities about its value and veracity. In places as diverse as the United States, the United Kingdom, Germany, Venezuela, and India, the competitive logic and pace of online news is found to be producing young cohorts of newsmakers whose professional identities are grounded more in the new notions of speed and interactivity than in the older journalistic principles of objectivity and balance (Usher 2014; Boyer 2013; Peterson 2015; Boczkowski 2010; Nadler 2016). The computer programs and metrics that news companies now use to measure and optimize their online traffic place journalists in the service of virtual publics represented by “clicks” and “views” rather than readers and opinions (Boczkowski and Mitchelstein 2013; Boczkowski 2004). News agencies, aggregators, and social media platforms meanwhile operate as powerful “digital intermediaries” (Nielsen and Ganter 2017) that play a decisive role in determining which stories gain attention and which stories do not (Gursel 2012; Munger 2019). These developments are changing what news readers expect and accept from professional journalists (Waisbord 2018; Carlson 2018), as well as what professional journalists expect and demand of themselves (Anderson 2013; Broersma and Peters 2013; Deuze 2007).
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Now extracting from the second image:
**Image 2:**
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**Chapter 5**
**News as Currency**
One objective that motivates many of the individuals who work in China’s news sector, as elsewhere, is to make money. Discussions of journalism in China have sometimes placed great emphasis on this fact and framed it as the reason for the institution’s tendency to passively reproduce the Party line. One study, for instance, describes the “outright majority of all Chinese news workers” as “workaday reporters … who see their work as not a calling but merely a source of income” (Hassid 2016, 9). “Concerned primarily with making money,” the author of this study writes, “such reporters encourage a culture of corruption and complaisance in the press that arguably does more to keep the Chinese media supine than the enduring legacy of heavy press censorship” (Hassid 2016, 9).
Where the news media work as a politically controlled institution, realities can be systematically misrepresented and news audiences misinformed in a consistent and coherent manner. Where news articles work like a kind of currency, in contrast, they are made and used to achieve diverse objectives within particular transactions and relationships—and consequently misinform their audiences in a vast array of disparate and often unintended manners. News in these circumstances can come to seem…
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I will proceed with the third image’s extraction:
**Image 3:**
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Where the news media work as a politically controlled institution, realities can be systematically misrepresented and news audiences misinformed in a consistent and coherent manner. Where news articles work like a kind of currency, in contrast, they are made and used to achieve diverse objectives within particular transactions and relationships—and consequently misinform their audiences in a vast array of disparate and often unintended manners. News in these circumstances can come to seem…
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All text extractions have been completed. If you’d like to save this in a particular format (e.g., Markdown, TXT, or JSON), let me know!
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: