Raw Story

==Reception==

Major media outlets have called ''Raw Story'' an [[Investigative journalism|investigative]] news site,<ref name="ref1"/> [[Progressivism in the United States|progressive]],<ref name="ref2"/> [[Left-wing politics|left-leaning]],<ref name="ref3"/> [[Independent media|independent]],<ref name="ref4"/> and an [[Alternative media|alternative]] news site.<ref name="ref5"/> ''Raw Story'' has performed exclusive interviews,<ref name="ref6"/> investigative reporting,<ref name="ref7"/> and has broken many stories.<ref name="ref8"/> ''Raw Story'' articles have been recognized by [[Columbia Journalism Review]] and the [[Associated Press]],<ref name="ref9"/> and been mentioned by other news agencies such as [[Reuters]].<ref name="ref10"/> ''Raw Story'' primarily aggregates stories from around the web web and produces investigative reporting.<ref name="PBP1">{{cite web |last1=Mower |first1=Lawrence |title=Story labeling PBSO chief deputy as racist is fake news |url=https://www.palmbeachpost.com/news/story-labeling-pbso-chief-deputy-racist-fake-news/vymFmZZDY34MGTVVldcuFO/ |website=[[Palm Beach Post]] |access-date=November 3, 2021 |archive-url=https://web.archive.org/web/20200806182231/https://www.palmbeachpost.com/news/story-labeling-pbso-chief-deputy-racist-fake-news/vymFmZZDY34MGTVVldcuFO/ |archive-date=August 6, 2020 |date=November 18, 2017 |url-status=dead}}</ref><ref>{{Cite web |title=Raw Story: Exploring new ways to build audience with investigative news, paywalls and partnerships |url=https://www.editorandpublisher.com/stories/raw-story-exploring-new-ways-to-build-audience-with-investigative-news-paywalls-and-partnerships,248337 |date=February 27, 2024 |first=Diane |last=Sylvester |work=[[Editor & Publisher]] |access-date=April 5, 2024}}</ref>

An August 2017 study by the [[Berkman Klein Center for Internet & Society]] found that between May 1, 2015, and November 7, 2016, ''Raw Story'' was the fourth and fifth most popular left-wing news source on [[Twitter]] and [[Facebook]], respectively. The study also found that ''Raw Story'' was the 9th most shared media source on Twitter by [[Hillary Clinton]] supporters during the [[2016 United States presidential election]].<ref>{{Cite web|last1=Faris|first1=Robert M.|last2=Roberts|first2=Hal|last3=Etling|first3=Bruce|last4=Bourassa|first4=Nikki|last5=Zuckerman|first5=Ethan|last6=Benkler|first6=Yochai|date=August 16, 2017|title=Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election|url=https://dash.harvard.edu/handle/1/33759251|access-date=June 25, 2021|website=[[Berkman Klein Center for Internet & Society]]|publisher=[[Harvard Library]]|language=en-US|issn=3375-9251|archive-date=October 23, 2022|archive-url=https://web.archive.org/web/20221023001249/https://dash.harvard.edu/handle/1/33759251|url-status=live}}</ref> Another study found that rawstory.com also featured prominently on the list of links shared by a [[Internet Research Agency|Russian troll farm]] via Twitter.<ref>Yin, Leon, Franziska Roscher, [[Richard Bonneau]], Jonathan Nagler, and Joshua A. Tucker. "[https://csmapnyu.org/assets/publications/2018_01_IRA_Presidential_Campaign.pdf Your Friendly Neighborhood Troll: The Internet Research Agency's Use of Local and Fake News in the 2016 U.S. Presidential Campaign] {{Webarchive|url=https://web.archive.org/web/20220518184034/https://csmapnyu.org/assets/publications/2018_01_IRA_Presidential_Campaign.pdf |date=May 18, 2022 }}." Data report, [[New York University|NYU]] Center for Social Media and Politics (2018).</ref>

In 2009, [[Libertarianism in the United States|libertarian]] journalist [[Michael C. Moynihan|Michael Moynihan]] referred to ''Raw Story'' as a "conspiracy-friendly" website.<ref>{{Cite web|last=Moynihan|first=Michael|author-link=Michael C. Moynihan|date=July 17, 2009|title=The Assassins Debate|url=https://reason.com/2009/07/17/the-assassins-debate/|access-date=2021-08-25|website=[[Reason (magazine)|Reason]]|language=en-US|archive-date=August 25, 2021|archive-url=https://web.archive.org/web/20210825070323/https://reason.com/2009/07/17/the-assassins-debate/|url-status=live}}</ref> In 2016, ad verification company [[Blumberg Capital|DoubleVerify]], which helps advertisers select which types of websites their automated online ads might appear on, created a new category called "Inflammatory Politics & News", one of 75 categories. The new category was to include "hardcore conservative and liberal sites", and included rawstory.com as well as several [[Far-right politics|far-right]] websites.<ref>{{multiref2 |1={{Cite news|last=Maheshwari|first=Sapna|author-link=Sapna Maheshwari|date=2016-12-02|title=Ads Show Up on Breitbart and Brands Blame Technology|language=en-US|work=[[The New York Times]]|url=https://www.nytimes.com/2016/12/02/business/media/breitbart-vanguard-ads-follow-users-target-marketing.html|access-date=2021-08-25|issn=0362-4331|archive-date=August 28, 2021|archive-url=https://web.archive.org/web/20210828182020/https://www.nytimes.com/2016/12/02/business/media/breitbart-vanguard-ads-follow-users-target-marketing.html|url-status=live}}|2={{Cite magazine|last=Alba|first=Davey|author-link=Davey Alba|date=December 15, 2016|title=Fake News Will Go Away if the Tech Behind the Ads Won't Pay|language=en-US|magazine=[[Wired (magazine)|Wired]]|url=https://www.wired.com/2016/12/fake-news-will-go-away-tech-behind-ads-wont-pay/|access-date=2021-08-25|issn=1059-1028|archive-date=August 4, 2021|archive-url=https://web.archive.org/web/20210804175034/https://www.wired.com/2016/12/fake-news-will-go-away-tech-behind-ads-wont-pay/|url-status=live}}}}</ref> A 2018 report by the [[Oxford Internet Institute]] categorized ''Raw Story'' as one of the "Top 30 Junk News Sources on Twitter."<ref name=":8">{{Cite web |last1=Nahema |first1=Marchal |last2=Neudert |first2=Lisa-Maria |last3=Kollanyi |first3=Bence |last4=Howard |first4=Phillip N. |author-link4=Philip N. Howard |date=November 1, 2018 |title=Polarization, Partisanship and Junk News Consumption on Social Media During the 2018 US Midterm Elections |url=http://blogs.oii.ox.ac.uk/comprop/wp-content/uploads/sites/93/2018/11/midterms_supplement.pdf |url-status=dead |access-date=2021-07-10 |website=Programme on Democracy and Technology |publisher=[[Oxford Internet Institute]] |archive-url=https://web.archive.org/web/20210711231218/https://demtech.oii.ox.ac.uk/wp-content/uploads/sites/93/2018/11/midterms_supplement.pdf|archive-date=July 11, 2021}}</ref> Some consider ''Raw Story'' a [[Partisan (politics)|hyperpartisan]] media outlet.<ref name=":7">{{Cite book |last1=Benkler |first1=Yochai |url=https://oxford.universitypressscholarship.com/view/10.1093/oso/9780190923624.001.0001/oso-9780190923624-chapter-2 |title=Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics |last2=Faris |first2=Robert |last3=Roberts |first3=Hal |date=2018-10-18 |publisher=[[Oxford University Press]] |isbn=978-0-19-092362-4 |volume=1 |page=72 |language=en |chapter=The Architecture of Our Discontent |doi=10.1093/oso/9780190923624.003.0002 |author-link=Yochai Benkler |access-date=August 24, 2021 |archive-date=August 15, 2021 |archive-url=https://web.archive.org/web/20210815193654/https://oxford.universitypressscholarship.com/view/10.1093/oso/9780190923624.001.0001/oso-9780190923624-chapter-2 |url-status=live }}</ref><ref name=":9">{{cite journal |last1=Pennycook |first1=Gordon |last2=Rand |first2=David G. |author-link2=David G. Rand |date=February 12, 2019 |title=Fighting misinformation on social media using crowdsourced judgments of news source quality |url=https://www.pnas.org/content/pnas/suppl/2019/01/14/1806781116.DCSupplemental/pnas.1806781116.sapp.pdf |url-status=live |journal=[[Proceedings of the National Academy of Sciences]] |volume=116 |issue=7 |pages=2521–2526 |doi=10.1073/pnas.1806781116 |pmc=6377495 |pmid=30692252 |archive-url=https://web.archive.org/web/20210703031111/https://www.pnas.org/content/pnas/suppl/2019/01/14/1806781116.DCSupplemental/pnas.1806781116.sapp.pdf |archive-date=July 3, 2021 |access-date=July 1, 2021 |doi-access=free|bibcode=2019PNAS..116.2521P }}</ref><ref name=":10">{{Cite journal |last1=Xu |first1=Weiai Wayne |last2=Sang |first2=Yoonmo |last3=Kim |first3=Christopher |date=2020-04-20 |title=What Drives Hyper-Partisan News Sharing: Exploring the Role of Source, Style, and Content |url=https://www.tandfonline.com/doi/full/10.1080/21670811.2020.1761264 |journal=[[Digital Journalism (journal)|Digital Journalism]] |language=en |volume=8 |issue=4 |pages=486–505 |doi=10.1080/21670811.2020.1761264 |issn=2167-0811 |s2cid=219764736 |access-date=August 24, 2021 |archive-date=April 10, 2023 |archive-url=https://web.archive.org/web/20230410013618/https://www.tandfonline.com/doi/full/10.1080/21670811.2020.1761264 |url-status=live }}</ref>{{Verify source|date=October 2022}}