connecting convo sarah paul james 01 — Transcript
Full transcript
- 0:00thank you for joining us for the
- 0:02disinformation
- 0:03misinformation and fake news teach out
- 0:05i'm julia one of your mentors
- 0:07i'm a graduate fellow for teachouts at
- 0:09the center for academic innovation here
- 0:11at the university of michigan
- 0:12and i'm a grad student that studies
- 0:14learning design and information science
- 0:16i'm here with sarah brandt james park
- 0:18and paul resnick three of our teachout
- 0:20experts and we're going to talk you
- 0:21through some of the connections that you
- 0:23learners have made
- 0:24between the two videos that james and
- 0:26sarah created with the three of you mind
- 0:28reintroducing yourselves for our
- 0:30learners
- 0:32sure thing i'll start uh hi my name is
- 0:34sarah brandt
- 0:35i work at newsguard where i head up our
- 0:37news literacy programs
- 0:39and newsguard is a service run by
- 0:42journalists that
- 0:44rates the credibility of all these
- 0:46websites
- 0:47hi i'm james park i'm the assistant
- 0:50director of the center for social media
- 0:52responsibility here at the university of
- 0:53michigan
- 0:54and i work really closely with paul
- 0:56reznick who you're about to meet
- 0:59hi i'm paul resnick i'm a professor at
- 1:02the school of information and associate
- 1:04dean for research and i'm the
- 1:05director of the center for social media
- 1:07responsibility
- 1:09excellent thank you all so much for
- 1:11being here um so i'm going to go ahead
- 1:13and start with some questions that i've
- 1:15pulled together
- 1:16um based on some of the connections that
- 1:18our learners made
- 1:19in the discussion forums so our first
- 1:22question
- 1:23is that after watching the videos that
- 1:25james and sarah contributed to the teach
- 1:26out
- 1:27learners had a lot of different
- 1:28perspectives and questions surrounding
- 1:30the two purposes and goals of your sites
- 1:33so what do you think the differences are
- 1:35between newsguard and iffy quotient
- 1:38and what are the overlaps um sarah let's
- 1:40start with you
- 1:42sure so i'll start with the overlaps i
- 1:44think
- 1:45what newsguard and if you quotient are
- 1:47both
- 1:48designed to do is contribute
- 1:52to this large effort of addressing
- 1:54misinformation
- 1:55online particularly on social media
- 1:59and we go about that goal in different
- 2:01ways
- 2:02so at newsguard what we do is we rate
- 2:05the credibility of news sources and we
- 2:08produce reviews of those news sources
- 2:11and the idea is that
- 2:13we want to empower information consumers
- 2:16to learn more about the the news
- 2:18articles and the sources they're seeing
- 2:20on social media and on google so that
- 2:22they can make better informed decisions
- 2:23and maybe not be duped by misinformation
- 2:26or share with their friends
- 2:29whereas the iffy quotient is
- 2:33using as an input what
- 2:36what sarah's site is is producing
- 2:39so they're evaluating all of the sites
- 2:44and their original intent was for end
- 2:46users
- 2:47consumers to use this to make better
- 2:49choices about what they're reading
- 2:51we're using it to try to make an
- 2:52aggregate measure
- 2:54of how well the platforms are doing so
- 2:57we take
- 2:58their ratings of the sites we we get all
- 3:00of the
- 3:01you know the which urls are popular each
- 3:04day
- 3:04on facebook and twitter and we say how
- 3:06many of them
- 3:07are news guard red versus how many of
- 3:09them are new scarred green
- 3:13james do you have anything to add i
- 3:16think
- 3:16both sarah and paul have have really
- 3:18covered it really well the only thing i
- 3:19would add i think
- 3:20is just to remind everyone that um
- 3:24newsguards methodology and our
- 3:26methodology
- 3:28uh are kind of put together in a pretty
- 3:31clear
- 3:32and organized fashion so that it's
- 3:34applied
- 3:35kind of uniformly to everything so
- 3:38you know it's a transparent set of
- 3:40criteria used
- 3:41and we're not trying to kind of play
- 3:44favorites or anything everything gets
- 3:45treated
- 3:46the same way and it's the same case with
- 3:47uh facebook and twitter are measured the
- 3:49same way
- 3:50so we're trying to be kind of as a as a
- 3:53uniform and as objective as possible
- 3:56awesome that's actually a really great
- 3:58segue to my next question
- 4:00so one thing that's come up not
- 4:03particularly
- 4:04in the connecting conversation space but
- 4:06kind of throughout the teach out as a
- 4:08whole
- 4:08is that learners are really curious
- 4:11about how
- 4:12experts in the field of miss or
- 4:13disinformation
- 4:15such as yourselves keep personal biases
- 4:18from trickling into your work
- 4:20so james you kind of alluded to that a
- 4:22minute ago but i'd love to hear
- 4:24a little bit more in depth from the
- 4:25three of you how do your experiences
- 4:27with
- 4:28creating and maintaining tools like iffy
- 4:30quotient and newsguard
- 4:32how do you keep your personal biases out
- 4:34of that process
- 4:37uh paul maybe we'll start with you this
- 4:38time okay
- 4:40um so uh i think
- 4:43james has really articulated the
- 4:46the key is that we need to have um
- 4:50we need to have uniform criteria that
- 4:52are that are spelled out
- 4:53and and we have transparency so that
- 4:56people can hold us accountable we're
- 4:57sort of in the business of
- 4:59holding uh twitter and facebook
- 5:01accountable
- 5:03but uh we need to be accountable as well
- 5:05so we've
- 5:07we've uh you know put out
- 5:10uh you can click through to find all the
- 5:13details of what our methods are
- 5:15and and uh you know newsguard is not the
- 5:19only place out there that is that is
- 5:23rating websites we've chosen them as our
- 5:26as our primary source for the for the
- 5:28ratings
- 5:29precisely because they are the most
- 5:32transparent about what their process
- 5:34is for rating for raiding the news sites
- 5:38so i'd say transparency is is our
- 5:40biggest
- 5:42um way of holding ourselves and allowing
- 5:45the public to hold us accountable
- 5:47for those decisions that we're making
- 5:49where personal biases could come in
- 5:52and i appreciate that in the bios you
- 5:54know i was going through the
- 5:56um i'm part you know i just finished my
- 5:58school of information degree but i
- 6:00appreciated that but you know when i
- 6:02went to look at the
- 6:03center for social media responsibility
- 6:05site for the first time
- 6:07that you all have kind of your like
- 6:09professional affiliations and your
- 6:11interests
- 6:11and you know your funding sources kind
- 6:13of in your bios so it's very clear you
- 6:16know
- 6:16on the site what exactly um you know
- 6:19where exactly your perspectives are
- 6:21coming from which i think
- 6:22um learners really appreciate yeah
- 6:25sarah what about you from the newsguard
- 6:27perspective yeah i think
- 6:29um would love to echo a lot of what paul
- 6:31had to say
- 6:32i think transparency is paramount and
- 6:35we've tried to build as much
- 6:36transparency into our process at
- 6:38newsguard
- 6:38as well so likewise we have all of the
- 6:41names and biographies and contact
- 6:43information
- 6:44for every single one of our journalists
- 6:46analysts or editors
- 6:47you know we name and identify all of our
- 6:50major funders
- 6:52and we use a
- 6:55very transparent process uh basically
- 6:58what we do is we write every single
- 7:00website
- 7:01using the same nine criteria that
- 7:04evaluate both their credibility and also
- 7:06the transparency of the website so we're
- 7:08actually looking at how transparent are
- 7:09these websites
- 7:10as well um you know we've tried to build
- 7:13in a few different
- 7:14safeguards against bias into our work
- 7:18as well in addition to you know applying
- 7:20those nine criteria
- 7:21consistently we make sure that
- 7:24every single one of our reviews
- 7:28is seen and edited by multiple people on
- 7:31staff
- 7:32and some of the reviews are actually
- 7:34discussed by our entire staff
- 7:37and every single review we ever publish
- 7:39is edited and discussed
- 7:40and reviewed by our two co-founders who
- 7:44serve as a kind of uh great balance at
- 7:46the top and
- 7:47and one thing i really appreciate but
- 7:49appreciate about the two of them
- 7:50uh stephen brill and gordon grovitz is
- 7:52that they're actually kind of on
- 7:53opposite sides of the political spectrum
- 7:55personally so steve is traditionally a
- 7:57bit more left-leaning
- 7:59in his views whereas gordon is a bit
- 8:00more right meeting his views so i think
- 8:02having those two review every single one
- 8:04of our
- 8:04reviews is really helpful to you know
- 8:06keep us honest and fair
- 8:08in our review process um and you know
- 8:11what one thing i
- 8:12i do want to also acknowledge is the
- 8:14fact that you know
- 8:16ultimately um we're humans uh
- 8:20we're humans producing these reviews and
- 8:22you know james and paul and his team are
- 8:24humans designing the iffy quotient
- 8:26and anything that's done by a human is
- 8:28inherently going to be influenced to
- 8:30some extent by bias
- 8:31you know what we can do is try to
- 8:33minimize the impact of that bias and
- 8:36and just be aware of our own biases and
- 8:39acknowledge that they do exist and
- 8:41understand how they're influencing what
- 8:42we do and how we consume information
- 8:46definitely james any thoughts
- 8:49i again paul and sarah have had a lot of
- 8:52the great
- 8:53points um the one thing i will add here
- 8:55in addition to
- 8:56sarah's final comment is yeah we're all
- 8:59human and we're not perfect
- 9:01but i think that on top of that um the
- 9:04great thing about humans over time is
- 9:07that we've also developed a lot of best
- 9:08practices and we've developed
- 9:10methods that various fields as a whole
- 9:14have kind of settled on
- 9:15are good methods and best practices for
- 9:18that particular field so in the case of
- 9:20newsguard
- 9:20or in the case of us with iffy quotient
- 9:23we're adhering to a lot of the
- 9:25best professional practices of our
- 9:27fields so as to kind of
- 9:29um try to crowd out as much of the bias
- 9:32or
- 9:32or human fallibility as we can you know
- 9:35we've developed these kinds of systems
- 9:38as large groups of people to try to you
- 9:40know
- 9:41maintain objectivity where we can
- 9:44and to settle on what are the better
- 9:47things for us to do
- 9:48as a a field so i think that's what we
- 9:51try to lean on
- 9:52in our all of our work and i'll just say
- 9:55that you know
- 9:55for the iffy quotient um
- 9:59there's a new number produced every day
- 10:01what's the what's the fraction of the
- 10:04of the popular articles on facebook that
- 10:06were
- 10:07from iffy sites what's the fraction from
- 10:09twitter that were those numbers are
- 10:10produced every day
- 10:12no human hands touch those numbers
- 10:14that's all
- 10:15automated scripts that are running and
- 10:18uh
- 10:19if we change something we're not
- 10:21changing it for one day we're
- 10:23changing a calculation uh and we're
- 10:25changing the algorithm
- 10:27that will run every day for a long time
- 10:30so uh it's not quite so easy to cook the
- 10:33books that way
- 10:35because because you're not you can't go
- 10:37in and just manually adjust
- 10:39individual numbers
- 10:44so a lot of learners um this is kind of
- 10:46a
- 10:47segue but um a lot of learners said that
- 10:50they
- 10:50are being exposed to newsguard and iffy
- 10:53quotient and other tools like this
- 10:55um for the first time because of the
- 10:57teach out
- 10:58which is really exciting we have a lot
- 10:59of international learners learns from
- 11:01outside the united states where
- 11:03u of m is um that are
- 11:06kind of discovering these tools for the
- 11:08first time so i'm interested to hear
- 11:10about
- 11:11how um or what advice you three would
- 11:14have
- 11:14for people that are starting to use
- 11:16these tools to become more
- 11:17news and media literate um what advice
- 11:20do you have
- 11:21uh james let's start with you this time
- 11:24oh boy um i think
- 11:28i'll start by saying that i think a good
- 11:30practice in all of this
- 11:32is to use a healthy dose of common sense
- 11:35along with um any tools that you have at
- 11:38your disposal
- 11:39so in the realm of social media we find
- 11:41that it's really easy
- 11:43to have a knee-jerk reaction where you
- 11:46just click
- 11:47and share something because you read it
- 11:49and it
- 11:50immediately kind of sparks something in
- 11:52your brain but i think that
- 11:53one of the things that i hope that
- 11:56someone could
- 11:57take away with iffy quotient and
- 12:00related tools would be if you see
- 12:02something that
- 12:04sounds too good to be true or
- 12:07if you happen to look at a details page
- 12:09on the input quotient and you see
- 12:11a set of urls that you've come across
- 12:14before or a set of urls from a site that
- 12:17you've
- 12:17seen before or one you haven't also
- 12:20think about
- 12:21what are the implications of sharing
- 12:22that information with other people
- 12:24if you don't have the full confidence
- 12:27that
- 12:28it's being reported in a objective and
- 12:31fair way and it's kind of the same way
- 12:33when you tell someone just any
- 12:35old thing that you heard from the rumor
- 12:37mill um
- 12:38and if you did then you kind of also
- 12:40should understand what the implications
- 12:42are you know someone said something
- 12:43untrue or questionable about your
- 12:46brother and then just went ahead and
- 12:47said it to anyone they came across on
- 12:48the street
- 12:49that has implications um and if there
- 12:52were an iffy quotient for information
- 12:54about your brother then you would hope
- 12:55that someone would use that tool before
- 12:56spreading rumors
- 12:57so
- 13:01sarah what do you think yeah um well i
- 13:05guess
- 13:06i want to answer in two parts so
- 13:09advice for using useful specifically but
- 13:11also just advice for using
- 13:13any kind of tool that helps you avoid
- 13:15misinformation
- 13:16more generally in terms of using
- 13:19newsguard for the first time
- 13:21so the great thing about newsguard is um
- 13:24it's really easy to once you have it
- 13:28installed see at a glance
- 13:29uh the red and green reading of a source
- 13:31and
- 13:32just get a really quick indication of
- 13:34the source's reliability
- 13:36but what i would particularly recommend
- 13:39especially for first-time users
- 13:40is to go beyond the red and green rating
- 13:42and actually click
- 13:43and open it and read the full nutrition
- 13:45label review because
- 13:47you'll get a much more nuanced
- 13:48understanding of the new sources
- 13:50that you're encountering that way um
- 13:53it's even a useful exercise for
- 13:54news sources that you've been consuming
- 13:56for years and you think you're familiar
- 13:58with
- 13:58you might still learn quite a bit from
- 14:01reading your label
- 14:02but then in terms of just advice more
- 14:05generally speaking
- 14:06um you know i think what's really
- 14:09important is to acknowledge that
- 14:10a tool is just a tool it serves a
- 14:14specific purpose but it shouldn't be
- 14:15seen as like a panacea or
- 14:18used as a crutch um so it can be useful
- 14:21in certain circumstances but
- 14:23um it's only effective if you're also
- 14:25applying just critical thinking and as
- 14:28james said
- 14:28common sense and also try to think about
- 14:32ways that
- 14:33you can apply uh what you've learned
- 14:35from using that tool to other
- 14:36other walks of life so like with
- 14:39newsguard for example
- 14:40we rate news websites but
- 14:43you could think about the way that we
- 14:45approach reading these websites to to
- 14:47try to
- 14:48use those same criteria yourself when
- 14:50you're assessing things that
- 14:52maybe you wouldn't traditionally rate
- 14:54like the credibility of a youtube
- 14:55account or something like that
- 14:58i think that's really helpful for for a
- 15:00lot of people kind of to expand the tool
- 15:02outside of um
- 15:05or expand the uh the uh
- 15:09use of the tool you know the the
- 15:11structure of the tool to context
- 15:13outside of like where the tool is used i
- 15:15think that's like really helpful
- 15:17um so next question um this is
- 15:20specifically for james and paul
- 15:22over some things that came up about iffy
- 15:24quotient um
- 15:26but sarah i'd also be interested you
- 15:27know because you work so closely with
- 15:29them
- 15:29um whether or not you have some thoughts
- 15:31as well so
- 15:32um learners were really interested in
- 15:34how something like iffy quotient
- 15:36um you know which you know gives a
- 15:38rating to
- 15:40platforms like facebook and um twitter
- 15:43um could be expanded to detail quotients
- 15:46beyond those media social media sites
- 15:48say for instance um tracking the
- 15:50iffyness
- 15:51quote unquote of a single news source
- 15:53article over time
- 15:56or single news sources articles over
- 15:58time excuse me
- 15:59um is this something that you've thought
- 16:00about for the tool or is this something
- 16:02that you don't really see
- 16:04being within the tools per view
- 16:08well yes it's a great question the uh
- 16:12we are well newsguard is writing sites
- 16:15not articles and
- 16:19uh we are tracking articles
- 16:22that get popular on facebook and twitter
- 16:25but we're not getting any information
- 16:27about those articles
- 16:29other than what site they came from and
- 16:31we go and see
- 16:32what a newscar say about the site even
- 16:35their the iffiest
- 16:37site the ones that get the worst ratings
- 16:40on newsguard some of the things that
- 16:42they publish are true
- 16:45uh but and
- 16:49so we don't you know when we come out
- 16:51with something that says
- 16:53uh 11 of the most popular urls on
- 16:55facebook were
- 16:57were from were iffy yesterday that
- 16:59doesn't mean that 11
- 17:00of the news that was shared on facebook
- 17:02was wrong
- 17:04there could be false information that
- 17:07came
- 17:08from good sites occasionally they do
- 17:10make mistakes
- 17:11and even the the the iffy sites
- 17:14sometimes
- 17:15uh they put out things that are true so
- 17:18we would love
- 17:20to have a better iffy quotient that
- 17:23actually
- 17:24measured what percentage of the news
- 17:26that was shared yesterday on
- 17:27facebook was true that's
- 17:30a lot harder and we don't yet have the
- 17:32capability to do it
- 17:34but we do have aspirations uh and i'll
- 17:37share in a minute
- 17:38what that might look like um and if we
- 17:41were if we did have some way to actually
- 17:43evaluate the articles
- 17:45then we could do something like what
- 17:47people are asking for
- 17:50instead of you know just rating the
- 17:53sites by their journalistic practices
- 17:55maybe we could actually have something
- 17:56that says well this is a site that
- 17:58you know is ninety percent accurate and
- 18:01this one this other site is only seventy
- 18:02percent accurate
- 18:04um so we don't have the capability to do
- 18:06that today because we don't
- 18:07have any way to we're not even trying
- 18:10right now to evaluate individual
- 18:12articles
- 18:14i would like to get to something that
- 18:15would evaluate in
- 18:17individual articles
- 18:20through some kind of public jury system
- 18:23where we would
- 18:24ask people to to write individual
- 18:27articles ask them to do some research
- 18:29um see if you can find other things of
- 18:32course
- 18:33journalists are are trained to do fact
- 18:35checking
- 18:36the public is not but we've been doing
- 18:40some
- 18:40some tests and and it appears that
- 18:44several if you sort of take the average
- 18:47of several opinions
- 18:48they can do pretty well at assessing
- 18:54whether whether stories are true false
- 18:57misleading
- 18:59and so we're thinking about maybe we
- 19:00could actually run some kind of
- 19:02um volunteer jury service where people
- 19:06could
- 19:06could rate could rate things and we're
- 19:10we're trying to think about how can you
- 19:11even maybe make it into a fun game to
- 19:13participate in where
- 19:14see if you can guess what everybody else
- 19:16will say about this article
- 19:18and uh we're hoping that by turning it
- 19:20into that kind of game it'll make it fun
- 19:21that
- 19:22that people will want to participate and
- 19:24then we'll
- 19:25we'll get their uh aggregated opinions
- 19:28and and
- 19:28be able to use that maybe you know right
- 19:31now we're tracking the the 5 000 most
- 19:33popular urls every day on facebook and
- 19:35twitter
- 19:36we probably can't get that big of a jury
- 19:38to participate
- 19:39um that we would get you know 10 people
- 19:42to rate
- 19:43each of 5 000 articles but maybe we
- 19:45could get the most popular ones each day
- 19:47and actually get
- 19:48assessments of um of how good the
- 19:51individual articles were
- 19:53sort of like a crowd-funded
- 19:56news assessment article assessment
- 19:59service
- 20:00or like i said it's almost citizen
- 20:01science in a way it sounds yeah
- 20:03that's really cool yeah but not funny
- 20:06you'd sort of be crowd labored yeah
- 20:10uh crowd source maybe is the word i was
- 20:12thinking of yeah
- 20:14uh james do you have any additional
- 20:17thoughts from the iffy quotient
- 20:18perspective
- 20:19yeah i mean i think i'm what i'm going
- 20:21to say is probably going to tease sarah
- 20:23up
- 20:23but i think that one of the important
- 20:26things
- 20:26to keep in mind with every quotient is
- 20:29because of our partnership with
- 20:30newsguard
- 20:31we're putting some of the trust and
- 20:33responsibility in newsguard's hands
- 20:36to continually check on the integrity of
- 20:40various news sources that are out there
- 20:43and maybe this is the time to turn the
- 20:47stadium over to syracuse and she'll talk
- 20:49a little bit more about that process
- 20:52yeah i mean i think um
- 20:55one thing we really wanted to make sure
- 20:56we did that news card was not just
- 20:59you know one and done we write a website
- 21:00once and then we can never
- 21:02change um so we're constantly updating
- 21:04our reviews to reflect
- 21:06um ways in which a site's content
- 21:09and its iffyness might change over time
- 21:12um and so so we do see that happen you
- 21:15know we do see news websites these
- 21:17practices change over time either the
- 21:19better or worse
- 21:20and that'll be reflected in the way that
- 21:22our review is updated
- 21:24um but of course that process um
- 21:27you know isn't on the day by day article
- 21:29by article
- 21:30level um it is still quite aggregated
- 21:34um you know the beauty of what we do
- 21:37by by doing it in an entirely human
- 21:40driven way is that it's
- 21:42very rigorous and transparent and
- 21:44detailed
- 21:45but you know the downfall is that we
- 21:48can't get to the scale of
- 21:49reading hundreds of thousands of
- 21:52articles um
- 21:53and i i don't think i mean without i
- 21:57guess crowdsourcing is one way to get
- 21:59about that
- 22:00uh to get towards that but in other ways
- 22:02it's if you feel like
- 22:04ai assessments can can get to a point
- 22:06where they're accurate enough
- 22:08to service some sort of proxy for
- 22:11article reliability so
- 22:14one really prevalent theme in the
- 22:16discussion forums
- 22:18um again this is something that kind of
- 22:20goes beyond the bounds of the connecting
- 22:22conversations but i think it's going to
- 22:24be really important for learners to hear
- 22:25about
- 22:27is that learners were really focused on
- 22:31finding the source quote unquote of a
- 22:34piece of information
- 22:35a piece of disinformation so um
- 22:38you know going back and trying to trace
- 22:40back to the the source of a
- 22:42um you know a social media generated uh
- 22:45you know piece of information that kind
- 22:47of is taken on a life of its own
- 22:49as we see happen um so so what level of
- 22:53importance
- 22:54would the three of you grant to trying
- 22:56to find
- 22:57that um that source or that kind of like
- 23:01uh you know point where the
- 23:03disinformation
- 23:04sort of started um when you're on social
- 23:07media
- 23:08do you think that that's necessarily
- 23:09important when you're trying to
- 23:11discern whether or not something is uh
- 23:14you know a good
- 23:15uh a good piece of information to to uh
- 23:18you know consider or is it something
- 23:20that maybe is not quite as
- 23:22important um paul maybe let's start with
- 23:25you
- 23:27well there yeah there are multiple
- 23:29pieces of it one is
- 23:32if you're trying to assess do you want
- 23:34to try to figure out
- 23:36where to come from because that might
- 23:38make you more or less skeptical of it
- 23:42but the other piece is if if there is
- 23:46misinformation or just information
- 23:48that's going around
- 23:49can we figure out where to where did it
- 23:51originate
- 23:52is this russian propaganda or is it
- 23:55homegrown
- 23:56is it uh you know did
- 23:59did someone did this did this originate
- 24:02from the opposing political campaign
- 24:05or did it originate from from some
- 24:07independent actor
- 24:09and i guess
- 24:13it makes sense that people are trying to
- 24:14do that as a as a
- 24:16as a form of accountability um it's not
- 24:19where we're focused
- 24:20we're focused not on the source problem
- 24:23but on the distribution problem
- 24:25and so that's we're trying to create
- 24:27accountability for the
- 24:29the platforms which are the source of
- 24:32their art
- 24:33are the mechanism of widespread
- 24:35distribution
- 24:36and we think they have certain
- 24:37responsibilities to
- 24:40uh for some kinds of things
- 24:43they should limit the reach that it has
- 24:46and so so that's just sort of a
- 24:49difference of focus that we're
- 24:51we're focused on on the which things
- 24:54become popular
- 24:55and what are the mechanisms we can use
- 24:58to try to keep them from becoming too
- 24:59popular
- 25:00as opposed to preventing anybody from
- 25:04ever saying anything that's false
- 25:06i think it's just not that harmful if
- 25:07people are saying things that are false
- 25:09if they don't get very wide distribution
- 25:12so we're focused on the
- 25:14which things become very popular good
- 25:17point
- 25:17sarah do you have anything to add yeah
- 25:21so
- 25:21in terms of um you know identifying the
- 25:25provenance
- 25:25of a piece of misinformation to the very
- 25:28first
- 25:29point that it originated that's
- 25:32something we've
- 25:33been trying to do a bit more recently at
- 25:35newsguard um
- 25:36i think it's a really useful exercise
- 25:39for understanding
- 25:40the entire life span of misinformation
- 25:43all the way from its
- 25:44very first point of origin to how it
- 25:47snowballs and spreads and then
- 25:49eventually goes viral
- 25:51um understanding that ecosystem is
- 25:52really interesting and i think it can be
- 25:54identifying for people who are trying to
- 25:57better understand encounter
- 25:58disinformation
- 25:59um in terms of you know if you're just a
- 26:02general
- 26:03information consumer trying to
- 26:06understand whether something is
- 26:08true or false um it might not be
- 26:11necessary to go through that
- 26:12pretty intensive process of tracing a
- 26:15myth all the way back to its origin
- 26:17um in some cases it requires a lot of
- 26:19research and reporting
- 26:21um you know instead what might be more
- 26:23useful is just
- 26:25you know checking that claim with
- 26:27multiple different
- 26:28credible sources um and
- 26:32if you found multiple credible sources
- 26:34that are relying on
- 26:35um other you know first-hand
- 26:38or other rigorous sourcing uh to make
- 26:41their claims then you can feel
- 26:43you know pretty confident that what
- 26:45you're reading is accurate
- 26:46or not
- 26:50james do you have any thoughts
- 26:54yeah this is a tough one i mean uh paul
- 26:58and sarah have definitely
- 27:00covered a lot of good ground um i don't
- 27:03know that i have anything
- 27:04kind of major to add i think
- 27:08maybe one of the questions when we say
- 27:10source
- 27:13it really can come down to
- 27:16the fact that as both paul and sarah
- 27:19have alluded to there
- 27:20is a point of origin for a
- 27:24a claim or an argument or a story um
- 27:28and that could be like just a single
- 27:30person
- 27:31saying it or of course it could be like
- 27:33an event that was witnessed and so then
- 27:35you have a lot of accounts
- 27:36um so that could be like this the source
- 27:39um but of course then you also have
- 27:41a particular story you may break thanks
- 27:44to like one
- 27:45publication um being the first to talk
- 27:48about it
- 27:49and in that case then it also becomes a
- 27:52question of
- 27:53the trustworthiness of
- 27:56that reporting source right
- 28:00and of course for us um involved with
- 28:02the proportion and for newsguard
- 28:05uh the you know what we deal with most
- 28:08often
- 28:08are the kind of those reporting sources
- 28:11and of course those reporting sources
- 28:12often have to work you need the
- 28:15investigative methods and what
- 28:17not what not to um identify or even be
- 28:20in touch with the kind of
- 28:22actual point of origin so
- 28:26it's complicated i would say that again
- 28:28it's about
- 28:30trying to develop a framework of
- 28:34understanding and and trusting
- 28:38reporting sources that tend to have kind
- 28:41of more
- 28:43high integrity methods and again
- 28:47they adhere to the best practices of the
- 28:50profession
- 28:51and i think when you can feel good about
- 28:54that
- 28:54you can generally generally feel better
- 28:57about
- 28:58what you're hearing from those reporting
- 29:00sources because i think it's
- 29:02pretty difficult or impossible for us as
- 29:05individual humans to always kind of
- 29:06track down the
- 29:07actual like earthly point of origin
- 29:13yeah definitely i think that's that's
- 29:15really important and
- 29:16give some perspective to folks who are
- 29:19you know maybe sorting through uh
- 29:22sorting through
- 29:23their media literacy skills for the
- 29:25first time
- 29:26um wonderful we're well we've reached
- 29:29the end of our time here together with
- 29:31paul
- 29:31sarah and james uh thank you all so much
- 29:34for giving your time to address some of
- 29:36these connections that learners made and
- 29:38the questions that they had
- 29:40learners thank you so much for tuning
- 29:42into this connecting conversations chat
- 29:44as part of the disinformation
- 29:46misinformation and fake news teach out
- 29:48at the university of michigan
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