User:Llevan2/sandbox

Liza is a cool person

Impact
Detecting non-human Twitter users has been of interests to academics. The University of Indiana has developed a BotOrNot free service, which scores Twitter handles based on their likeliehoof of being a Twitterbot. One significant academic study estimated that up to 15% of Twitter users were accounts automated bots. The prevalence of Twitter Bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence.

Political

A subset of Twitter Bots programmed to complete social tasks played an important role in the United States 2016 Presidential Election. Researches estimated that pro-Trump bots generated four tweets for every pro-Clinton automated account and out-tweeted pro-Clinton bots 7:1 on relevant hashtags during the final debate. Deceiving twitter bots fooled candidates and campaign staffers into retweeting misappropriated quotes and accounts affiliated with incendiary ideals.  Concerns about political Twitter Bots include the promulgation of malicious content, increased polarization, and the spreading of fake news.

Positive Influence

Many non-malicious bots are popular for their entertainment value. However, as technology and the creativity of bot-makers improves, so does the potential for Twitterbots that fill social needs. @tinycarebot is a Twitterbot that encourages followers to practice self care, and brands are increasingly using automated Twitterbots to engage with customers in interactive ways. One anti-bullying organization has created @TheNiceBot, which attempts to combat the prevalence of mean tweets by automatically tweeting kind messages.

Public Figures

The majority of Twitter accounts following public figures and brands are often fake or inactive, making the number of Twitter followers a celebrity a difficult metric for gauging popularity. While this cannot always be helped, some public figures who have gained or lost huge quantities of followers in short periods of time have been accused of discreetly paying for Twitter followers. For example, the Twitter accounts of Sean Combs, Rep Jared Polis (D-Colo), PepsiCo, Mercedes-Benz, and 50 Cent have come under scrutiny for possibly engaging in the buying and selling of Twitter followers, which is estimated to be between a $40 million and $360 million business annually. Account sellers may charge a premium for more realistic accounts that have Twitter profile pictures and bios and retweet the accounts they follow. In addition to an ego boost, public figures may gain more lucrative endorsement contracts from inflated Twitter metrics. For brands, however, the translation of online buzz and social media followers into sales has recently come under question after The Coca-Cola Company disclosed that a corporate study revealed that social media buzz does not create a spike in short term sales.

Article Critiques
 '' Say Her Name

I would rate this as a B Article, since there are still some issues with citations, structure and content that need to be addressed, especially generalizations that are united and can appear a bit biased. For example, generalizations regarding how BLM disregards black, queer women and how black murders at the hands of police get more media attention could be backed up with fact. I'm not sure if these are common knowledge, in which case this would be alright, but I think a source to back this up would be welcome. All of the citation links I randomly tried worked, but there are many duplicate citations and no reference to criticism of the movement or attempt to quantify the movement or highlight its notoriety. Some up to date statistics quantifying the hashtag's use and notable users would be a welcome addition. These issues and more were discussed on the Talk page, including a comment that The Huffington Post is not a notable source. I disagree with this sentiment, as it is an international news source. If anything, the opinion articles linked by the article could be challenged, but I see the difficulty in not including these sources, as many of them are by the movement's originators. Perhaps sources of comparable quality would be inappropriate to cite for a more mainstream topic, but the grassroots nature of this topic may or may not call for using lower quality sources. I also question the structure of the article. I believe it deviates too much into Intersectionality, a feminist concept, and that the section should be honed down to a sentence. I would be more open to the inclusion of this section if the founder of the movement had discussed Intersectionality at length. Instead, it reads to me like the Wikipedia page for Intersectionality, not Say Her Name. I also think that the section on the spread of the movement should be moved under source of the movement, which can be renamed to history of the movement.

Twitterbot

I would reiterate the stub rating that has been given to this article. I read the talk page, and it seems that someone worked on this page for a class project, and many of the comments are just praising the page for being educational or plugs to get the page to cite their blogs, which did not provide much value. I agree with the comment that the examples section lacks structure. I also think it is incomplete, since it doesn't include TayTweets (the Microsoft AI bot that became super racist), which I think is the most famous bot. The examples section could use some organization into categories, (useful versus controversial and other sub categories), and there could be a section added on the implications of bots on elections, the fallout after Kim Kardashian and Justin Bieber lost tons of followers after a bot crackdown, and more controversies about bots that I think are missing from the page. Maybe there could be a 'bots in the news' section? Many of the links to Gawker (RIP, Peter Thiel is a monster) Articles did not work and the ones that did were archived web pages, which I'm not sure is a great source, since the news source no longer exists. Many of the cited articles were opinion blogs. I would clean up the cited pages to meet Wikipedia's source standards and infuse the Twitterbot list with some organization.