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Facebook 自己找人研究,Social Media 是否對人類有害 XDDD

之前看到「Hard Questions: Is Spending Time on Social Media Bad for Us?」這篇,一直不知道要怎麼吐槽... 然後看到 Twitter 上的這則 tweet XDDD

既視感太重了,找了一下其他行業對應的資料:

真的不知道怎麼吐槽 XDDD

俄羅斯在英國脫歐的議題上,也利用 Social Network 的廣告影響民意

TechCrunch 上看到的,俄羅斯政府不只在美國選舉時這樣做,同時也在英國脫歐公投的議題上進行操作:「Twitter says Russians spent ~$1k on six Brexit-related ads」。

不過金額比美國選舉時小了很多:

In response to the Commission’s request for information concerning Russian-funded campaign activity conducted during the regulated period for the June 2016 EU Referendum (15 April to 23 June 2016), Twitter reviewed referendum-related advertising on our platform during the relevant time period.

Among the accounts that we have previously identified as likely funded from Russian sources, we have thus far identified one account—@RT_com— which promoted referendum-related content during the regulated period. $1,031.99 was spent on six referendum-related ads during the regulated period.

With regard to future activity by Russian-funded accounts, on 26 October 2017, Twitter announced that it would no longer accept advertisements from RT and Sputnik and will donate the $1.9 million that RT had spent globally on advertising on Twitter to academic research into elections and civil engagement. That decision was based on a retrospective review that we initiated in the aftermath of the 2016 U.S. Presidential Elections and following the U.S. intelligence community’s conclusion that both RT and Sputnik have attempted to interfere with the election on behalf of the Russian government. Accordingly, @RT_com will not be eligible to use Twitter’s promoted products in the future.

Twitter 的 280 字帶來的差異

在「140 Vs. 280: Users Engage With Longer Tweets Data Shows」這邊分析了在 Twitter 上 0~140 與 141~280 字的 tweet 所帶來的互動差異:

可以看到較長的 tweet 會有比較多的 retweet 與 like,不過更細一步的分析就沒有了... 文章內也有提到資料的分析是怎麼來的:

The data parameters: 30,000 publisher tweets that included links between November 29 – December 6.
The results: The click-through rate was roughly equal for both tweet length types but overall engagement nearly doubled for longer tweets. On tweets containing 141-280 characters, the average retweet was a staggering 26.52% – compared the 13.71% for tweets with 0-140 characters. For likes, tweets containing 141-280 characters had an average of a whopping 50.28%, compared to 0-140’s 26.96%.

為什麼我還繼續用 RSS (Feed)

最近在一些地方冒出兩篇文章 (應該是 NuzzelHacker News,放在 tab 上好幾天,不是那麼確定來源...),一篇是最近發的「The Case for RSS」,另外一篇是五月的文章「RSS: there's nothing better」。這邊講的 RSS 比較廣義,不侷限於 RSS {0.91,1.0,2.0},而是包括了各式的 feed,像是後來標準化的 Atom

消息的來源大致分成兩種:

  • 已知的來源:這些人只要有新的文章你就會想看。
  • 未知的來源:你可能也會有興趣的文章。

前者你不會想要漏掉 (你就是想看才會訂啊)。而後者在早期有 Zite 這類用演算法推薦的產品,後來在 Zite 併入 Flipboard 整個爛掉後我就跳去用 Nuzzel (透過好友機制推薦,演算法相對單純)。

Facebook 將這兩者混在一起,讓「已知的來源」未必會出現,而是用演算法包起來並且用 PR 手段混淆:美其名稱為「個人化推薦」,實際上是想辦法讓內容提供者掏錢出來。這點在 Instagram 上也可以看到一樣的作法:把 timeline 打散,用演算法包裝起來,再美其名為「個人化推薦」。

而 RSS reader 可以避免「已知的來源」這塊漏掉。

另外也因為 RSS reader 因為設計的目標就是「有效率的閱讀」而不是「賺錢」,所以大多數都會有「已讀」與「未讀」的功能,這讓你同樣的資訊你不需要讀很多次。

而 RSS reader 容易分群閱讀 (有些 RSS reader 會提供 folder 或是 tag 的功能) 也讓你可以帶著不同的 mindset 看不同群的文章,像是科技類的文章與心靈雞湯文就可以分開。

強制 Facebook 的「時間軸」依照時間排序

TechCrunch 的「How I cured my tech fatigue by ditching feeds」這篇提到了 Social Network 成隱的問題:

Many people have deleted the Facebook app from their phone to avoid this mindless habit. “What’s going on in my feed?” they think. Then they scroll, scroll, scroll, get bored and close the app. Repeat this process every 30 minutes. Deleting the app is the best way to take a stance and say that Facebook is a waste of time.

砍掉 Facebook 是一個還不錯的方法,但如果還是有使用 Facebook 需求,就只好想辦法降低 Facebook 帶來的影響。其中我找的方法是強制切到 Most Recent 版本,降低 Facebook 演算法的介入。

昨天剛好在重新處理機器,發現之前用的那個 Google Chrome 套件不見了,只好找看看有沒有替代方案,後來翻到這個:「Facebook Most Recent News Feed」。

如果看裡面程式碼,其實做的事情很簡單,就是硬切過去:

chrome.webRequest.onBeforeRequest.addListener(
    function(info) {
        if (info.url === 'https://www.facebook.com/') {
            return {
                redirectUrl: 'https://www.facebook.com/?sk=h_chr'
            }
        }
    }, {
        urls: [
            "https://www.facebook.com/*"
        ],
        types: ["main_frame"]
    }, ["blocking"]
);

當然,如果能考慮整個移除的話也是不錯啦...

Twitter Moments 很大?

看到「How big is Twitter Moments?」這篇,在談 Twitter Moments

依照推算,Twitter Moments 的使用量應該比全世界任何一個媒體都大,但你會發現實際上沒有音量。沒有人談論他,沒有人引用他... 但估算起來他應該是超級大的產品?

有種「到底怎麼樣才算是一個成功的產品」的反思。

各種職業與離婚率

也是篇研究,講各種職業的離婚率:「Divorce and Occupation」,副標題「Some jobs tend towards higher divorce rates. Some towards lower.」。拿的是 2015 美國的資料分析出來的:

Using data from the 2015 American Community Survey, for each occupation, I calculated the percentage of people who divorced out of those who married at least once.

依照離婚率,由高往低排:

如果是把中位薪拿出來,把邊界的幾個標出來:

原網頁的資料是互動式的形式,游標移上去可以看到每個點是什麼...

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