We track content consumption patterns including articles read, videos watched, time spent, sharing behavior, and engagement metrics. This data personalizes content recommendations and improves media delivery.
Content recommendations are based on reading history, interests, location, and behavior patterns. Personalization algorithms analyze consumption data to surface relevant news and media content.
User comments, discussions, and community interactions are stored and displayed with user profiles. Comment moderation may involve reviewing user contributions and profile information.
Email newsletters, push notifications, and news alerts require processing subscription preferences and delivery information. Subscription data influences content selection and delivery timing.
Advertising content may be personalized based on reading interests, demographics, location, and behavior. Ad targeting uses aggregated data to deliver relevant advertising while protecting individual privacy.
User-submitted content including photos, videos, tips, and comments involves sharing personal information and creative works. Contributor guidelines outline privacy implications of public submissions.
Downloading or streaming media content involves tracking consumption, device compatibility, and quality preferences. Media delivery is optimized based on technical capabilities and user preferences.
Reading progress, saved articles, and preferences may sync across devices for seamless media consumption. Sync features require consistent user identification across platforms.
For investigative reporting, additional privacy measures may protect sources and sensitive information. Journalistic standards guide handling of confidential information and source protection.
Accessing archived content may involve tracking historical reading patterns and research interests. Archive usage data helps maintain and improve historical content accessibility.