- Board of County Commissioners: The full board of the relevant county.
- Governing Bodies of First-Class Cities: Representatives from all cities of the first class located in the county.
- Governing Bodies of Second-Class Cities: Representatives from all cities of the second class located in the county.
- Chairmen of Township Trustees: The chairmen from each township's board of trustees in the county.
- Chairmen of Public Utilities Boards: The chairmen from boards of public utilities in all cities located in the county.
- Chairmen of Drainage District Boards: The chairmen from all drainage districts within the county.
- Mayors of Second- and Third-Class Cities: The mayors from all cities of the second and third class in the county.
- Appointed Citizens: Eighteen (18) private residents selected and appointed by the above members; these individuals must be residents of the county or any city therein but cannot be officers or employees of the county, any city, any school district, township, board of public utilities, or drainage district.
Tuesday, September 30, 2025
Stakeholders in the Citizens Commission on Local Government
Fwd: FW: City of Topeka Candidate Forum Sponsored by Sunflower Association of REALTORS, Inc.
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From: Henry McClure <mcre13@gmail.com>
Date: Tue, Sep 30, 2025, 11:11 AM
Subject: Re: FW: City of Topeka Candidate Forum Sponsored by Sunflower Association of REALTORS, Inc.
To: Humphrey, Denise <Denise@sunflowerrealtors.com>
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From: Humphrey, Denise
Sent: Tuesday, September 30, 2025 10:41 AM
To: daisy karimi <daisy@daisyfortopeka.com>; daisy karimi <contact@daisyfortopeka.com>
Subject: FW: City of Topeka Candidate Forum Sponsored by Sunflower Association of REALTORS, Inc.
Importance: High
From: Humphrey, Denise
Sent: Wednesday, September 24, 2025 4:41 PM
To: dobeortiz@gmail.com
Subject: City of Topeka Candidate Forum Sponsored by Sunflower Association of REALTORS, Inc.
Importance: High
Event Information
Date & time: Tuesday, September 30th; 6:00 p.m. – 8:00 p.m.
Location: The Foundry Event Center, 400 SW 33rd St, Topeka, KS
Sponsor: Sunflower Association of REALTORS®, Inc.
Election: Topeka City Races, Mayor and City Council
Format: Panel
Moderators: Scott Boling, Chair, SAR Governmental Affairs Committee; Darren Beckham, Public Policy Field Director, Kansas Association of REALTORS®
Information regarding rules and format are attached. Please let me know if you'd like to have a table for campaign materials. As of this morning, the following individuals have indicated they will be in attendance:
Candidate
Office
Attending
Bradberry, Michelle
Topeka District 7
X
Deister, Chris
Topeka District 9
X
Duncan, Spencer
Mayor
X
Hiller, Karen
Topeka District 1
X
Hoferer, Michelle
Topeka District 9
X
Karimi, Daisy
Topeka District 3
X
Kell, Brett Daniel
Topeka District 5
McClure, Henry
Mayor
X
McIntosh, Earl
Topeka District 7
X
Naeger, William
Topeka District 1
X
Ortiz, Sylvia
Topeka District 3
X
Trammell, Nic
Topeka District 9
X
Feel free to reach out with any questions or concerns. We look forward to seeing you on September 30th!
Sunday, September 28, 2025
Good luck
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Saturday, September 27, 2025
Fwd: A Doctor's Note - Senator Marshall's Weekly Newsletter
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From: Senator Roger Marshall <donotreply@marshall.senate.gov>
Date: Sat, Sep 27, 2025, 2:08 PM
Subject: A Doctor's Note - Senator Marshall's Weekly Newsletter
To: <mcre13@gmail.com>
|


Key differences in spam detection
| Feature [1, 3, 6, 7, 8, 9, 10, 11, 12, 13, 14] | Live video | Static pictures |
| Moderation timing | Moderation for live content occurs in real-time and post-broadcast. In many groups, live streams are automatically held for a manual review before being posted to prevent unknown spam. | Detection for pictures is largely automated and proactive, with AI screening the content at the time of posting. |
| Detection focus | Algorithms analyze behavioral patterns and keywords in the live chat and comments. For instance, suspicious, high-volume comments or users getting blocked during a broadcast can trigger red flags. | AI models analyze the image content itself. This includes using image recognition to detect misleading or AI-generated images that may be used by spammers. |
| Scam prevention | Live video poses unique scam risks, such as people impersonating legitimate creators and running scams in the live chat . Meta has tools to detect and auto-hide comments from suspicious profiles . | Spammers may use AI-generated images with confusing captions to increase engagement. Algorithms specifically target and demote posts with images disguised as videos, which is a form of clickbait. |
| Post-content review | Human reviewers assess flagged live video content after the broadcast is over. If a live video was reported, it is subject to review before it is deleted. | When automated AI systems flag a picture for being spam, it may be sent to human review teams for a final decision. |
Similarities in spam enforcement
- Behavioral signals: For both formats, Facebook's algorithms look for high-volume, automated, and repetitive activity.
- User reporting: People can report any content, whether it is a live video or a photo, for spam or harassment. User reports are crucial for training the AI and flagging content for human review.
- AI-driven moderation: Artificial intelligence is central to the moderation process for all content types. AI helps detect violations proactively and routes complex cases to human reviewers. [2, 12, 15, 16, 17]
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