CONCERT RADAR on HSE Design

1. Media Concept (from Assignment 1 or alternative, if changed)
2. Data Sources for the Media
3. Data Schema with Separation of Human and Machine Processing
4. Guidelines for Automated Services in the Schema

1. CONCEPT

CONCERT RADAR — a music media platform for finding concerts and musical events for residents of various cities.

Today, concert information is scattered across ticketing services, artists' social media, club websites, and city guides. To choose a suitable event, the listener has to manually gather information from various sources. CONCERT RADAR combines convenient event navigation with editorial curation. Our media doesn’t just tell you where and when the concert will happen—it explains why it’s worth your attention.

The main idea of the project is to help everyone find a concert that matches their musical interests, mood, and location.

Segment: music, entertainment, urban lifestyle, and music tourism. Niche: discovering and finding musical events, concerts, festivals, and artist performances in various cities and countries. «CONCERT RADAR» specializes in live music and musical events, helping users find interesting happenings based on a specific music genre or artist. Users can learn about local artists, small concerts, club events, and festivals that are easily missed through a standard search. The medium can also be useful while traveling—when planning a trip, users can see in advance what musical events are happening in a city during their stay.

2. DATA SOURCES FOR MEDIA

Artists and Music Labels: official pages, press releases, and release announcements.

Venues: websites, flyers, schedules, and social media.

Ticketing Services: dates, times, locations, and ticket information.

Music Platforms: information on albums, tracks, and artists.

Expert Sources: interviews, reviews, and commentary from organizers and musicians.

Audience: photos, testimonials, memories, and subscriber stories.

GUIDELINES FOR WORKING WITH SOURCES

Reliability

Priority is given to the official pages of artists, venues, and organizers.

Timeliness

Concert dates, times, and locations are verified before publication.

Cross-Verification

Important information is confirmed by multiple independent sources whenever possible.

Copyright

Photographs, videos, and texts are used with the permission of the rights holders or under the terms of the relevant license.

Participant Consent

Personal stories and photos of followers are published only after receiving permission.

Source Tracking

For every entry, a link, the date of information receipt, and the verification status are saved.

3. DATA SCHEME

For CONCERT RADAR, a hybrid data processing system is proposed: automated tools help collect, sort, and systematize information, while editors review, add contextual depth, and transform it into complete materials.

INFORMATION PROCESSING STAGES

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1. Data Collection

Information is sourced from official channels, music platforms, concert venues, ticketing services, media outlets, and subscribers. This can include concert announcements, artist details, new releases, photographs, and personal stories.

2. Collection and Organization

Automated tools assist in migrating open data into a central database, categorizing it, identifying duplicate entries, and sorting events by date, city, and genre. Information that cannot be gathered automatically is added manually by the editorial team.

3. Information Verification

The editor verifies the accuracy of the data, cross-references dates and titles, and clarifies details with organizers and artists. For user-generated content, the author’s consent and photo usage permissions are reviewed separately.

4. Content Creation

Based on the verified information, a journalist or editor produces an article, poster, interview, review, reportage, or curated collection. Automated services can assist with audio transcription, material sorting, and draft preparation.

5. Publication and Analysis

The finished material undergoes a final editorial review and is published. Following publication, automated tools gather statistics on views, reactions, and traffic, helping the editorial staff understand audience interests.

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4. GUIDELINES

This section outlines the rules governing how CONCERT RADAR automated services collect, process, and transmit information. Their primary goal is to make data handling fast, accurate, and secure, while maintaining human editorial oversight.

1. Information Sources

— Use official websites of artists, venues, organizers, and ticketing services. — Verify the timeliness of the information and its publication date. — Save links to the original sources so the editor can refer back to them.

2. Data Collection and Processing

— Automatically collect only publicly available information. — Categorize the data: concerts, artists, venues, releases, and music events. — Remove duplicates and identify missing or conflicting details. — Do not alter the source data without preserving the original.

3. Verification of Accuracy

— Cross-reference the dates, times, addresses, and participating lineups for events. — If contradictions are found, send the information for manual review. — Do not publish data whose accuracy has not been confirmed.

4. Handling Copyrighted Content

— Use photographs, videos, texts, and audio only with explicit permission or a suitable license. — Attribute the authorship and source of all materials. — Do not present automatically generated text as verified journalistic content.

5. User Data Protection

— Do not collect unnecessary personal information. — Do not transfer user photos, stories, or contacts to third-party services without necessary consent. — Obtain permission to publish user-generated content.

6. Control and Publication

— All materials prepared by automated services undergo editorial review. — The editor verifies the facts, corrects errors, and approves the final material. — Automatic publication is permitted only for data that has been pre-vetted and approved.

7. Analytics and Recommendations

— Use viewing statistics, reactions, and click-through rates to understand audience interests. — Formulate recommendations based on the collected data. — Do not treat automated recommendations as a final editorial decision.