Tb docs update (#278)

* Update timeline-tabs.md

* Update helpful-notes.md

Author: twitterbirdwatch

documentation/under-the-hood/helpful-notes.md

@@ -22,4 +22,4 @@ These accounts automatically repost Community Notes that meet the following crit
 - Have been rated Helpful by contributors
 - Have kept their status of Helpful for 6hr+
 - Have a high helpfulness score (0.45+ intercept score)
-- If the note contains terms that contributors have reported as sometimes overwhelming the Helpful Notes timelines ("spam", "scam", "dropship", "drop ship", "promotion") it will have a lower probability of appearing, so as to avoid overwhelming the timeline. This is experimental to determine if it improves follower satisfaction.
+- If the note contains terms that contributors have reported as sometimes overwhelming the Helpful Notes timelines ("spam", "scam", "gambling", "dropship", "drop ship", "promotion") it will have a lower probability of appearing, so as to avoid overwhelming the timeline. This is experimental to determine if it improves follower satisfaction.

documentation/under-the-hood/timeline-tabs.md

@@ -47,7 +47,7 @@ A variety of criteria are considered when determining whether to include a note,
 - Current status (e.g. "Needs More Ratings")
 - Current helpfulness score (e.g. not a low helpfulness score, highly rated by initial raters, possibly nearing the threshold to earn status of "Helpful")
 - Does not have a large number of ratings (such that more ratings could change the note's status)
-- If the note contains terms that contributors have reported as sometimes overwhelming the Needs Your Help tab ("spam", "scam", "dropship", "drop ship", "promotion") it will have a lower probability of appearing, so as to avoid overwhelming the tab. This is experimental to determine if it improves contributor satisfaction.
+- If the note contains terms that contributors have reported as sometimes overwhelming the Needs Your Help tab ("spam", "scam", "gambling", "dropship", "drop ship", "promotion") it will have a lower probability of appearing, so as to avoid overwhelming the tab. This is experimental to determine if it improves contributor satisfaction.
 
 In this case of alerts, notifications are sent to a random selection of contributors, excluding the note author and those who have already rated the note. Notifications are also limited by the recipient's notification frequency setting.