Alphabet Inc. (GOOG)

Industry: Computer Software: Programming, Data Processing

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average
Activity

Popular Topics & Highlights

... she learned to bake herself from a YouTube video.

... #BTSonFallon clip right now in real-time on our YouTube channel!!!

... ✔Please kindly note that YouTube, NAVER TV, V LIVE Views/Likes will not be counted towards ...

... damn... they still feel like the very first time haha

... times such as these, they are not truthful. Watch for their apology, it won't happen. ...

... whether or not they need a test for the coronavirus. We know this because moments later ...

... track off #Walls are also up on YouTube ! Check 'em out

... of giving up my social media accounts on Facebook, Twitter, Instagram & YouTube. Will ...

... 📺 Please please share this with as many people as you can ❤️ Our kids need this more ...

If you missed the announcement today, I shared an update on how much money ...

Analysis

Yesterday, Saturday, April 4, we saw positive social sentiment for Alphabet Inc. (GOOG). We gave it a score of 41. There was a significant amount of activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of 22 (positive). Over the prior 14 days our AI scored an average sentiment of 26 (positive). And for the prior 30 days our social sentiment score for Alphabet Inc. (GOOG) is 17 (positive).

Disclaimer

We believe social network activity can help inform investors of the positive and negative opinions people hold of a company. Social media posts are made both before and after market price fluctuations. We can make no claim of correlation or causation between market prices and social media sentiment. We make no evaluation of stock value and we can make no prediction of future prices. The information gathered on SocialSentiment.io should be only one part of a broader investment strategy.

We've trained our artificial intelligence systems from past social media posts. While tests show our predictions are usually accurate to our models, a human may come to a different conclusion for some posts.