====PAGE-LEVEL METADATA==== University Daily Kansan Page 0044_1 from reel: NP 16433 (2015-01-19 to 2015-07-27) https://digital.lib.ku.edu/ku-udk/115696 Title: 'Unfriending' Dilutes Social Media Feeds Summary: Columnist Anrenee Reasor discusses the impact of unfriending people on social media platforms and how it affects our online interactions and relationships. Category: opinion Subjects: social media; friendship; digital communication; social networks Named Entities: Reasor, Anrenee [columnist] Confidence: 0.9 Title: Medication Is Most Efficient Method to Fight Flu Summary: Monica Saha examines the effectiveness of medication versus alternative remedies for treating the flu, featuring student perspectives on flu treatment methods. Category: features/profiles Subjects: influenza treatment; healthcare; public health; medication efficacy Named Entities: Saha, Monica [columnist]; Zhou, Zunwu [student]; Bashir, Yasmin [student]; Canton, Katie [student]; Schaefer, Tim [student] Confidence: 0.85 Title: Text Free for All Summary: Column inviting student text submissions to share thoughts, experiences, and opinions with the campus community via texting a specific number. Category: informational content Subjects: student submissions; text messaging; campus communication Confidence: 0.8 Title: How to Submit a Letter to the Editor Summary: Instructions for students on how to submit letters to the editor, including contact information and formatting requirements. Category: informational content Subjects: student journalism; submission guidelines; campus media Confidence: 0.9 Title: Contact Us Summary: Contact information for various members of The University Daily Kansan editorial staff and departments. Category: informational content Subjects: campus media; editorial staff; contact information Confidence: 0.9 Title: The Kansan Editorial Board Summary: Listing of members of The University Daily Kansan Editorial Board and their roles. Category: informational content Subjects: campus media; editorial leadership; student journalism Confidence: 0.9 Note: Descriptive metadata for this item has been generated in part using AI (artificial intelligence) technologies and may be incomplete, misleading, or inaccurate. Please contact the Kenneth Spencer Research Library with specific questions or concerns.