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Santiago Baker
Santiago Baker

Retweet To Become An Officially Supported Function On Twitter _BEST_

In order to search Tweets from the last 7 days, you can use the search_recent_tweets function available in Tweepy. You will have to pass it a search query to specify the data that you are looking for. In the example below, we are searching for Tweets from the last days from the Twitter handle suhemparack and we are excluding retweets using -is:retweet.

Retweet to become an officially supported function on twitter

In order to get the list of users that retweeted a Tweet, we can use the get_retweeters function and pass it the Tweet ID. If we want additional fields for the User object such as profile_image_url, we can specify those using the user_fields parameter.

It has become pretty common practice to Retweet people or brands when you want to share something interesting someone else tweeted. However, you can take things a little further and layer on engagement by using retweet with comment instead.

To become viral, a tweet message needs numerous retweets from other users, with whom a retweeting community is automatically formed. Within the communities, a retweeter is not necessarily a follower of the original tweet user as Twitter provides a search service ( ) that enables its users to discover trending topics by tweets retrieval and to forward a tweet without following its user. Therefore, retweeters could be classified into followers and non-followers. In this section, we compare retweeting behaviors of these two types of retweeters in terms of frequency and speed. We also test the impact of user authentication status on retweeter structures of retweeting communities.

We analyze how features of original tweet users impact the retweeter structures of retweeting communities. Figure 6 illustrates the quantiles of verified retweeters rate and following retweeters rate for both verified and unverified Twitter users, suggesting a higher value of the verified Twitter users for both measures. Statistic summary and ANOVA results are summarized in Table 3; the verified Twitter users see an average of 2.7% of verified retweeters out of the retweeting community, while that number takes only 0.4% for their unverified counterparts. The difference is supported significantly with the P values being 0 from the results of ANOVA.

To become viral, a tweet message depends heavily on the retweeting passion from other users. Twitter is a good place to make this happen. Our results indicate an almost immediate response from Twitter users after the posting of an original tweet, with some retweets made within only 2 s. It takes only about 10 min on average for at least 90% of the original tweets to have their first retweets done. The rapid response from its users enables Twitter to broadcast crisis event updates quickly and widely. However, interest in a tweet message is short-lived at the same time, with most of (86%) the retweeting processes having 75% of their retweets done within 24 h, indicating a 1-day information value of tweet messages. In summary, Twitter users respond quickly, but shortly in terms of retweeting. The result is a double-edged sword for crisis managers. On the one hand, the results validate the fact that crisis messages from managers could reach the public members widely within a short period of time, which would help them build the situation awareness of the public members quickly. On the other hand, rumors, fake news and misinformation could also be diffused with similar efficiency and coverage, challenging their already harsh-demanding work on rumor control and therefore justifying an early rumor detection and containment effort during crisis times.

A retweeting community is formed when a message starts to cascade. Within each community, patterns may differ with the features of original users, relationships between the end users of a retweeting edge, and other potential factors. Results of this study show that followers contribute to an average of 50% of all retweets. For verified users, followers contribute to about 60%, which is significantly higher than that of unverified users. We find a similar difference regarding the percentages of verified retweeters within the communities of verified and unverified users respectively. In summary, verification status of original tweet users impacts the user structures of their retweeting communities. In light of this, for official tweets to reach as many users as possible, which is a challenging problem for official information officers (Jin et al. 2019), increasing the retweets from strangers serves as the breaking-through point. To this end, message promotion (e.g., advertising) may become necessary when diffusion efficiency and scale are demanding for important crisis messages.


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