Viewing a response to: @dbdecoy/steemit-comment-spam-report-20-09-2017
i like your idea but you mistake context when making list, if you check comments by myself ( @isacoin ) and @cryptick they were copy/pasted warnings on posts of users promoting scam ICO so to state that all listed are scammers and should be reported is a mistake unless you check the context on each users posts
| post_id | 14,016,728 |
|---|---|
| author | isacoin |
| permlink | re-dbdecoy-steemit-comment-spam-report-20-09-2017-20170928t215919650z |
| category | steemit |
| json_metadata | "{"app": "steemit/0.1", "users": ["isacoin", "cryptick"], "tags": ["steemit"]}" |
| created | 2017-09-28 21:59:21 |
| last_update | 2017-09-28 21:59:21 |
| depth | 1 |
| children | 2 |
| net_rshares | 39,856,979,062 |
| last_payout | 2017-10-05 21:59:21 |
| cashout_time | 1969-12-31 23:59:59 |
| total_payout_value | 0.083 SBD |
| curator_payout_value | 0.026 SBD |
| pending_payout_value | 0.000 SBD |
| promoted | 0.000 SBD |
| body_length | 313 |
| author_reputation | 25,968,355,293,329 |
| root_title | "Steemit Comment Spam Report 20.09.2017" |
| beneficiaries | [] |
| max_accepted_payout | 1,000,000.000 SBD |
| percent_steem_dollars | 10,000 |
| author_curate_reward | "" |
| voter | weight | wgt% | rshares | pct | time |
|---|---|---|---|---|---|
| isacoin | 0 | 39,856,979,062 | 100% |
I'll remove your ids if it looks genuine. This is being picked from the SQL server that too when the repetitions exceed 5. SQL does not know the context, I even had @patrice on the list a few days back. Just be careful not to repeat the same comment everywhere, then you may end up looking like a spam bot. Thanks for the follow!
| post_id | 14,021,944 | ||||||
|---|---|---|---|---|---|---|---|
| author | dbdecoy | ||||||
| permlink | re-isacoin-2017929t51524678z | ||||||
| category | steemit | ||||||
| json_metadata | "{"app": "esteem/1.4.6", "format": "markdown+html", "community": "esteem", "tags": "steemit"}" | ||||||
| created | 2017-09-28 23:45:33 | ||||||
| last_update | 2017-09-28 23:45:33 | ||||||
| depth | 2 | ||||||
| children | 1 | ||||||
| net_rshares | 0 | ||||||
| last_payout | 2017-10-05 23:45:33 | ||||||
| cashout_time | 1969-12-31 23:59:59 | ||||||
| total_payout_value | 0.000 SBD | ||||||
| curator_payout_value | 0.000 SBD | ||||||
| pending_payout_value | 0.000 SBD | ||||||
| promoted | 0.000 SBD | ||||||
| body_length | 330 | ||||||
| author_reputation | 1,536,974,515,935 | ||||||
| root_title | "Steemit Comment Spam Report 20.09.2017" | ||||||
| beneficiaries |
| ||||||
| max_accepted_payout | 1,000,000.000 SBD | ||||||
| percent_steem_dollars | 10,000 |
i dont really care if am listed just to list blindly and state all are scammers is misleading and not really appropriate to label as "scam report" when its a repeated comment is many use cases such as warnings on scams that can be done by anyone to list as spam and get reported could be flagged blindly by steemcleaners which then would lead to assistance of
| post_id | 14,026,373 |
|---|---|
| author | isacoin |
| permlink | re-dbdecoy-re-isacoin-2017929t51524678z-20170929t012317822z |
| category | steemit |
| json_metadata | "{"app": "steemit/0.1", "tags": ["steemit"]}" |
| created | 2017-09-29 01:23:21 |
| last_update | 2017-09-29 01:23:21 |
| depth | 3 |
| children | 0 |
| net_rshares | 32,501,991,116 |
| last_payout | 2017-10-06 01:23:21 |
| cashout_time | 1969-12-31 23:59:59 |
| total_payout_value | 0.066 SBD |
| curator_payout_value | 0.021 SBD |
| pending_payout_value | 0.000 SBD |
| promoted | 0.000 SBD |
| body_length | 359 |
| author_reputation | 25,968,355,293,329 |
| root_title | "Steemit Comment Spam Report 20.09.2017" |
| beneficiaries | [] |
| max_accepted_payout | 1,000,000.000 SBD |
| percent_steem_dollars | 10,000 |
| author_curate_reward | "" |
| voter | weight | wgt% | rshares | pct | time |
|---|---|---|---|---|---|
| isacoin | 0 | 32,501,991,116 | 52% |