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" ... After reading through the paper several times and following its citations, I had several methodological questions that didn’t appear to be answered in the paper (academic papers typically have hard length limits that restrict the amount of technical detail they can include), so I wrote the authors asking if they could share their replication datasets for the paper and answer a few questions I had, since I had been unable to locate any replication or supplemental information on their website. Specifically, given that the results of their paper largely hinged on the specific set of 1,000 journalists selected for analysis, the comprehensiveness of the list of 500,000 articles, the makeup of the 12,000 “highly politically active Twitter accounts” and the final set of ideologically weighted terms used to score the documents (given that the authors mention using domain expertise to manually adjust the final set of terms), I asked if they could share the list of URLs and Twitter handles (but not the content itself, since that would be a violation of copyright) and the list of keywords. I also asked if they could answer a few basic clarifying technical questions such as whether they filtered out quoted phrases (so that they were only looking at a journalist’s own words) and which algorithm they used to extract each article from its surrounding web page (since an imprecise algorithm might scoop up advertisements or headers/footers that might include ideologically charged language unrelated to the journalist’s own words). ... "
" ... I need to remark that SLB’s financial reports are closely reasoned but that doesn’t make them accurate. I read hundreds of quarterly reports, but the comprehensiveness and details herein are on par with data you’d expect management to submit to its directors in the boardroom. Every geographical sector of their business is vigorously parsed as to revenue prospects, pricing, operating profit margins as well as wire line technological developments. ... "
" ... Prior guidance focused on the design, comprehensiveness and accessibility of a company’s policies and procedures. The 2020 Guidance further directs prosecutors to ... "
" ... Sadly, many companies have experienced such events, and the sports world is seeing a flood of these cases coming to light. Some notable teams have seen their brands tarnished and fans alienated by executives who have behaved in ways that are in stark contrast to their fans and their franchise’s values. AI tools like Fama have accelerated the speed and comprehensiveness to perform the screening checks while also reducing costs and risk to the company. Moreover, Mones shares, “The net new insight in talent screening has increased retention rate to over 97% for those employees.” Meaning, companies seem to be building deeper trust and commitment to these hires. ... "
" ... The tools could pave the way for increases in the accuracy, comprehensiveness and timeliness of risk management, the authors pointed out. ... "