Media monitoring methodology

During this monitoring, an expert is considered as a person who is given authority to, explains the facts, their use, context, performs an assessment of the situation; the expert has a status of non-interest, impartiality and independence in relation to the facts/situation being commented on; the issues in question are not directly relevant to the activities of the expert. A person who implements state policy or is a member of the parliament not considered an expert in this monitoring.

Monitoring sample: January 1st, 2021 – December 31, 2021. Different national media channels have been selected for monitoring – radio, television, news portals, the press and those programs and sections (news portals) where the probability of expert evaluation is the highest.

The aim was to select only the original content of the news portals, therefore the monitoring did not include articles published on weekends, content of partners, articles from news services ELTA, BNS, repulsed articles of other portals and publications prepared according to the content of TV or radio programs.

No special software was used for monitoring - the work has been done manually.

Radio

• Lietuvos radijas. Programmes: Ryto garsai, Aktualijų studija, 60 minučių.
• Žinių radijas. Programmes: Atviras pokalbis, Dienos klausimas, Įvykiai ir komentarai.

TV

• LRT: Programmes: Panorama, Dienos tema, Savaitė.
• LNK: Programmes: 18:30 žinios.
• TV3: Programmes 18:30 žinios.

Digital news portals (digital articles only)

• Delfi.lt. Sections: Naujienos, Lietuva, Pasaulis, Verslas, Kultūra, Nuomonių ringas.
• Lrt.lt. Sections: Naujienos, Lietuva, Pasaulis, Verslas, Kultūra, Nuomonės.
• 15min.lt: Sections, Lietuva, Pasaulis, Verslas, Kultūra, Komentarai.
• Lrytas.lt. Sections: Naujienos, Lietuva, Pasaulis, Verslas, Kultūra, Komentarai.

Print press

• IQ
• Verslo Žinios
• Lietuvos rytas

About the database

The database contains 99 media pieces published between January 1st, 2021 and December 31, 2021.

Each of these media pieces has been augmented with data organized in three tables.

1. MEDIA PIECES TABLE

Contains data on each media piece monitored. It includes the following columns.

• media_object_id: unique identifier for each media piece
• media_object_name: name of the media piece. Could be a title of an article, or of a TV or radio feature
• outlet_name: name of the news outlet that published the media piece
• outlet_link: link to the outlet’s homepage
• source_link: link to the media piece, if an online source for it is available
• publication_date: the date the media piece has been published, in the format yyyy-mm-dd
• publication_year: the year the media piece has been published, in the format yyyy
• media_type: classification of the media piece as a TV feature, radio feature, digital article or print article
• opinion_piece: binary variable indicating whether the media piece is an opinion piece
• subject: the main topic of the media piece
• total_length: the length of the media piece, expressed in seconds (for TV and radio) or words (for digital and print articles)
• length_metric: indication of whether the total_lenght is measured in seconds or words
• comment: column for additional comments and notes

2. EXPERTS TABLE

Contains data on each expert featured in the media pieces monitored. It includes the following columns.

• expert_id: unique identifier for each expert
• last_name: last name of the expert
• first_name: first name of the expert
• fullname: first name and last name of the expert
• gender: gender of the expert
• field_of_expertise: the expert’s main field of expertise
• field_of_expertise_details: additional details related to the field of expertise categorization
• year_birth: year of birth in the format yyyy
• education: the expert’s education level, classified as Bachelor's degree, Master's degree, PhD, Post-doc
• social_media_profile: link to a social media profile, preferably LinkedIn’s
• comments: additional comments

3. MEDIA MENTIONS TABLE

Contains data on each expert’s individual appearance in a media piece. It is a relational table establishing a connection between the previous two tables. It includes the following columns.

• media_object_id: unique identifier for the media piece
• expert_id: unique identifier for the expert
• fullname: first name and last name of the expert
• appellation_institution: the institution associated to the expert as mentioned by the media outlet in this specific piece
• institution_type: categorization of the type of institution associated with the experts, for example “NGO”, “Public Institution”, “Business”, “University”, etc
• appellation_role: the title/ role of the expert within the institution, as mentioned by the media outlet in this specific piece
• length: the length of the expert’s active participation in the media piece, measured as speaking time (in seconds) or number of words
• length_metric: indication of whether the total_lengtht is measured in seconds or words
• comments: additional comments