• Lab
  • AndroidForMobile Foundation at
    HOME
              
    LATEST STORY
    Notifications every 2 minutes: This in-depth look at how people really use WhatsApp shows why fighting fake news there is so hard
    ABOUT                    SUBSCRIBE
    Jan. 24, 2018, 9:28 a.m.
    Audience & Social

    🤔: As emojis become further embedded in our lives, how can journalists find the stories inside?

    “The hard part is not the technical stuff. The hard part is how to tell a story about this or ask the right questions. This is the most personal form of data science.”

    If a picture is worth a thousand words, what’s the value of an emoji?

    From the skin tones of the human emojis to the existence of the gun emoji, the icons have clearly become intertwined in the our culture of communication. of people online use emoji, and are sent each day. Oxford Dictionaries named one emoji based on its ubiquity in our interactions. Heck, “The Emoji Movie” was in a commercial movie theater in 35 years in Saudi Arabia. But what could emojis actually tell us? How can journalists use emojis in their reporting — and not just as trying-to-be-hip gimmicks?

    These are the types of question that is trying to dissect. After a watch party for the results of the 2016 election dissolved into tears, prayers, and middle fingers, Azhar — a former Facebook data scientist, Knight Prototype Fund winner (for a separate project), chief scientist at Swiss blockchain startup Zap, and a CUNY visiting professor of data science — found similar sentiments expressed via emoji in his own social media feeds. He poked the Twitter API to see representations of Twitter users’ emotions on all sides of the spectrum and . The top emojis in Tweets mentioning Hillary Clinton — ❤️, 😭 , and 🙏 — represented an outpouring of love and support. The top emojis used in relation to Donald Trump — 🤔, 👍, 👏, and 🖕 — represented both celebration and anger.

    “The experience I had in the real world was mirrored in the virtual world,” Azhar said. “Election Day really showed me how people are using emojis to express really raw, powerful emotions on subjects that matter a lot.”

    This search wasn’t his first foray. He previously explored the data on emojis in the and the , leading to emoji analyses he had published in Vice’s Motherboard as his first works of data journalism. And he’s been finding some intriguing results:

    • The frequency of the different skin tones in on Twitter: Azhar wondered about the representation of skin color in body-based emojis since the movement was originally started by a black woman and popularized to a new level by actress Alyssa Milano.

    • The prevalence of the : “✊ indeed appears to be a signature emoji of progressive protest, showing up in the top five for all of the protest-related hashtags as well as #BlackLivesMatter. Flags also appear in the top five emojis for #Elections2016 and #Brexit, in addition to all of the protest-related hashtags.” (This was also covered by , , and .)
    • The is most associated with the red heart emoji in Ramadan-related Tweets across four languages.
    • “…not only about how much each of Taylor and Kanye’s fans adore them, but also about the demographics and general vibe and behaviors associated with each fan camp,” according to Motherboard’s Madison Margolin in her writeup of Azhar’s study of the Kanye-Taylor feud.

    “The hard part is not the technical stuff,” said Azhar, who created the data science lab for further study of emoji data science — and its applications in journalism. (His code for analyses like these is now open source.) “The hard part is how to tell a story about this or ask the right questions. This is the most personal form of data science.”

    Other industries are on social media to brands or even the of using certain emojis. And while journalists certainly have invested heavily in data reporting amid resource restraints, no newsrooms have been regularly parsing what’s been called the in its two decades of existence.

    To be fair, there have been dabbles in the qualitative and quantitative aspects of emoji usage. Quartz published an in an attempt of translating pop culture. (Azhar cites this article as his inspiration to take a deeper look at emoji data science which spurred the creation of Prismoji.) FiveThirtyEight has also examined the use of in August. We at AndroidForMobile Lab have written about emoji in journalism a bit before as well, such as the prevalence of emojis in mobile push alerts.

    But there’s more to using emojis in data journalism than just cool graphs with more emojis. The Atlantic’s reported on the by comparing the most-used skin tones on Twitter, noting the low level of white skin tone emojis in Tweets even though “white Twitter users still outnumber their black counterparts four-to-one”:

    But this effect may also signal a squeamishness on the part of white people. The folks I talked to before writing this story said it felt awkward to use an affirmatively white emoji; at a time when skin-tone modifiers are used to assert racial identity, proclaiming whiteness felt uncomfortably close to displaying “white pride,” with all the baggage of intolerance that carries. At the same time, they said, it feels like co-opting something that doesn’t exactly belong to white people — weren’t skin-tone modifiers designed so people of color would be represented online?

    Former New York Times reporter and designer Yiying Lu’s led to the creation of for furthering culturally diverse emoji, which has brought not only the dumpling but also the hijab, broccoli, sauna, red envelope, and DNA emojis to the Unicode Consortium. The resources for data on emoji abound: the resource for documenting emoji, their connotations, and their updates, has been called the . — tallying all uses of each emoji on Twitter in real time — could be considered modern cave drawings with its records from 2013 (which is, you know, a whole ice age ago in emoji years).

    Azhar’s work with Prismoji could be on the forefront of taking the sheer numbers of emoji usage and working with journalists to create a broader understanding of the emoji in our world.

    However, emoji data science isn’t perfect. All the examples mentioned here are based on Twitter’s streaming API, and emojis haven’t been widely tracked or studied on other social media platforms or digital communication methods because of the withheld APIs. There are globally, in a world where — and that’s still just half the human population of Planet Earth. Azhar said the prevalence of emojis per topic varies, with trends such as Man Crush Monday featuring emojis in half the Tweets and topics such as former FBI director James Comey’s hearings at the Senate Intelligence Committee having a much smaller proportion of emojis to study. And on Twitter as emoji itself, which could feasibly affect the popularity of certain emojis. Azhar says he only counts a user once per data set to account for bots and retweets, and he’s hoping to explore the Instagram and Kik APIs to parse the emoji data treasure troves on those platforms.

    There’s much more emoji data to find on the other side of the 🌈. Azhar plans to reach out to more journalists and newsrooms to encourage data-driven work on culture (such as emojis). Prismoji doesn’t have a solid revenue stream — it’s one of his many side projects — but Azhar said he sometimes partners with media organizations and consults for brands on emoji findings.

    “This started as a labor of love and I’ve kept it as such,” Azhar said. “The question I’m asking is very basic — it’s what emojis are people using and what are their emotions around these events. But I can definitely see this informing data journalism in a more powerful way…Something like this allows us to get out of our own bubbles and allows us to get access to a broader swath of human experience.”

    Emoji plushie picture by used under a Creative Commons license.

    POSTED     Jan. 24, 2018, 9:28 a.m.
    SEE MORE ON Audience & Social
    SHARE THIS STORY
       
     
    Join the 50,000 who get the freshest future-of-journalism news in our daily email.
    Notifications every 2 minutes: This in-depth look at how people really use WhatsApp shows why fighting fake news there is so hard
    “In India, citizens actively seem to be privileging breadth of information over depth…Indians at this moment are not themselves articulating any kind of anxiety about dealing with the flood of information in their phones.”
    Facebook probably didn’t want to be denying it paid people to create fake news this week, but here we are
    Plus: WhatsApp pays for misinformation research and a look at fake midterm-related accounts (“heavy on memes, light on language”).
    How The Wall Street Journal is preparing its journalists to detect deepfakes
    “We have seen this rapid rise in deep learning technology and the question is: Is that going to keep going, or is it plateauing? What’s going to happen next?”
    続きを読みます

    https://gazon.net.ua

    У нашей фирмы важный web-сайт , он рассказывает про аксессуары для кальяна киев www.sweet-smoke.com.ua