- From: Annette Greiner <amgreiner@lbl.gov>
- Date: Thu, 20 Feb 2020 13:55:04 -0800
- To: public-credibility@w3.org
- Message-ID: <cd814c90-8c1e-9fd0-2b66-9e05c5e8af52@lbl.gov>
Unfortunately, the GPRAMA is unlikely to lead government contractors like the national labs to make their performance reports available in truly machine-readable formats, as (a) it applies to agencies, not contractors, and (b) it does not specify a definition of machine-readable. For many people, PDF counts as "searchable and machine readable", and indeed many of the contractors already meet that bar. From what I can see, the GPRAMA really doesn't do more than require that information about the planning of the government itself be made available to humans via computers. It's a good step, but to my mind at least, it doesn't exemplify particularly tech-savvy legislation. I don't see it as a means to glean reliable credibility signals. -Annette On 2/19/20 4:41 PM, Owen Ambur wrote: > > Point well taken, Annette. Beyond peer recognition however, it would > be good to make salient the underlying performance indicators > specifying what excellence truly means. > > In the case of U.S. federal agencies, section 10 > <https://www.linkedin.com/pulse/open-machine-readable-government-owen-ambur/> > of the GPRA Modernization Act (GPRAMA) requires them to publish their > performance reports in machine-readable format. It would be good if > some of the laureates associated with DOE and LBNL could help lead the > way. > > In the meantime, on their behalf, I have published their strategic > plans in open, standard, machine-readable StratML format at > https://stratml.us/drybridge/index.htm#DOE > > Perhaps someday news organizations will be held accountable not only > for doing likewise but also paying greater deference to reliable data > than to story telling based so heavily on personal perspectives. If > not, more of what we already see is what we are likely to get, both > literally as well as figuratively. > > BTW, here's OKF's data journalism guide in StratML format: > https://stratml.us/carmel/iso/DJH5MFGwStyle.xml Unfortunately, it says > noting about the Foundations for Evidence-Based Policymaking Act > (FEBPA <https://stratml.us/drybridge/index.htm#FEBPA>), including > Title II, the OPEN Government Data Act (OGDA > <https://www.linkedin.com/pulse/open-gov-data-act-machine-readable-records-owen-ambur/>). > > It is ironic that Congress, which is held in such low regard, seems to > be so far ahead of the news media, the "knowledge" community, and the > W3C in recognizing the importance of open, standard schema-compliant, > machine-readable public records. > https://en.wikipedia.org/wiki/Machine-readable_document > > Owen > > On 2/19/2020 6:59 PM, Annette Greiner wrote: >> >> One of the things that the awards idea makes me think about is >> evaluating not just a site but the organization that publishes it. >> Scientific organizations don't get journalism awards, but their >> researchers may well get prestigious scientific awards, like Nobel >> Prizes and Fields Medals. I work at a lab that's pretty conspicuous >> for its Nobels, so I don't want to emphasize that more than it >> deserves, but in general I want to make sure this list doesn't end up >> only making sense for journalistic sites. >> >> -Annette >> >> On 2/19/20 9:21 AM, Sandro Hawke wrote: >>> >>> >>> On 2/19/20 11:48 AM, Sastry, Nishanth wrote: >>>> >>>> Hello Sandro, all, >>>> >>>> This just a quick email to introduce myself as a new member to the >>>> group, from King’s College London. I had applied to the credible >>>> web WG several months back, but got approved by our University >>>> contact just days before, and have since been added to this email >>>> list. >>>> >>>> We have done a bunch of work looking at >>>> >>>> 1. hyper partisan websites, in the context of the US Presidential >>>> elections: >>>> >>>> * https://nms.kcl.ac.uk/nishanth.sastry/publication/nrswww-2018-b/ >>>> o This provided inputs for a major expose by Buzzfeed News: >>>> https://www.buzzfeednews.com/article/craigsilverman/inside-the-partisan-fight-for-your-news-feed >>>> * https://nms.kcl.ac.uk/nishanth.sastry/publication/nrswww-2020/ >>>> o Showing that right leaning sites track more intensely than >>>> left leaning sites (Covered by WIRED: >>>> https://www.wired.com/story/right-left-news-site-ad-tracking/) >>>> >>>> 2. bias in news and social media during political crises >>>> >>>> * https://nms.kcl.ac.uk/nishanth.sastry/publication/karamshuk-16-slant/ >>>> >>>> 3. And finally, on transferring trust across domains (which is >>>> very aligned with what I see in the signals draft. We also use >>>> age as an “ungameable” signal to transfer trust across domains. >>>> We do this for IDs of individuals rather than domains, but the >>>> paper develops ways to calibrate trust, answering questions >>>> such as – is a 10 year-old Facebook ID more trustworthy than a >>>> 15 year old Gmail ID, for example): >>>> >>>> * https://nms.kcl.ac.uk/nishanth.sastry/publication/nr-swww-16/ >>>> >>> >>> Very nice. I'd love to get into signals about individuals, but we >>> it looked like websites would be a little simpler, and we wanted to >>> start in the simplest possible place. Hopefully we can get into >>> such things fairly soon. >>> >>>> * >>>> >>>> >>>> I will join the Zoom at 7pm GMT, and can add any further details >>>> that may be interesting to the group. Looking forward. >>>> >>> >>> Great, looking forward to meeting you. This meeting will be mostly >>> about wrapping up this little sprint, but then hopefully we can >>> expand a bit for the next phase. >>> >>> -- Sandro >>>> >>>> Best wishes >>>> >>>> nishanth >>>> >>>> *From: *Sandro Hawke <sandro@w3.org> >>>> *Date: *Wednesday, 19 February 2020 at 15:51 >>>> *To: *Credible Web CG <public-credibility@w3.org> >>>> *Subject: *journalism award signals >>>> *Resent from: *<public-credibility@w3.org> >>>> *Resent date: *Wednesday, 19 February 2020 at 15:51 >>>> >>>> I did a bit more work on the Journalism Awards, framing it as a >>>> general signal and one more specific signals. >>>> >>>> I put them into the "reviewed signals" draft, marked as "pending". >>>> >>>> Here's a dated version of that draft: >>>> https://credweb.org/reviewed-signals-20200219/ >>>> <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcredweb.org%2Freviewed-signals-20200219%2F&data=01%7C01%7Cnishanth.sastry%40kcl.ac.uk%7C1c1f34f786234483d96c08d7b5539380%7C8370cf1416f34c16b83c724071654356%7C0&sdata=Vf7GBSfAxU5%2BtP8oOqK1vMf0Oxw2DgDXLWtBoQ8f4k0%3D&reserved=0> >>>> (The undated version presumably wont show them as pending after >>>> today, which could confuse someone reading this later.) >>>> >>>> Meeting in about 3 hours, as usual. Agenda >>>> <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fdocument%2Fd%2F1-KcB121I6D6J2ZdQET-qatqCaqv3ttlZkfhgyWEk7nM%2Fedit&data=01%7C01%7Cnishanth.sastry%40kcl.ac.uk%7C1c1f34f786234483d96c08d7b5539380%7C8370cf1416f34c16b83c724071654356%7C0&sdata=fu%2FG4cV3ziND%2BcDFacnZsRAKJLiVYuYwRF9c9Ik%2FSFM%3D&reserved=0>. >>>> >>>> -- Sandro >>>> >>>> >>> >> -- >> Annette Greiner (she) >> NERSC Data and Analytics Services >> Lawrence Berkeley National Laboratory >> -- Annette Greiner (she) NERSC Data and Analytics Services Lawrence Berkeley National Laboratory
Received on Thursday, 20 February 2020 21:55:26 UTC