Klub podany w głosowaniu imiennym tego posła w tym samym dniu i posiedzeniu: KO · dowód głosu. Nie jest to pełna historia członkostwa.
Pełna wypowiedź
10. kadencja, 35. posiedzenie, 2. dzień (21-05-2025) 11. punkt porządku dziennego: Informacja bieżąca. Poseł Anna Sobolak: Pani Marszałek! Panie Ministrze! Wysoka Izbo! W latach 2022-2023 NASK, a zatem państwowy instytut, wykorzystywał system walki z dezinformacją nie do zwalczania fake newsów, ale do monitorowania polityków opozycji i dziennikarzy niezależnych mediów. System pomijał przekaz partii rządzącej i skupiał się wyłącznie na środowiskach krytycznych wobec PiS. Zbierano tweety m.in. Donalda Tuska, Krzysztofa Brejzy, Dariusza Jońskiego, Romana Giertycha, Bartosza Wielińskiego czy Bianki Mikołajewskiej. Informacje przekazywano do Centrum Informacyjnego Rządu, które koordynowało działania propagandowe. Przykład: zatrzymanie posłanki Kingi Gajewskiej. System uznał temat za obarczony wysokim ryzykiem eskalacji i uruchomiono działania resortów. Na ten cel wydano z publicznych pieniędzy 19 mln zł. Odpowiedzialny za to był rozwiązany już dział przeciwdziałania dezinformacji. Panie Ministrze! Proszę o informację, czy to jest prawda i czy możliwe jest pełne ujawnienie dokumentów i osób za to odpowiedzialnych. (Dzwonek) Dziękuję. (Oklaski) Przebieg posiedzenia
1. (2.19ms; exec 2.11 + fetch 0.08; rows 1) SELECT s.object_id AS statement_id, s.statement_number, s.speaker_name, s.source_member_id, mp.object_id AS member_id, day.object_id AS day_id, day.term, day.proceeding_number, day.source_date, day.current_revision_id AS day_revision_id, dayStatement.ordinal, dayEvidence.id AS list_evidence_id, dayEvidence.selector_type AS list_selector_type, dayEvidence.selector AS list_selector, dayFetch.id AS list_fetch_id, dayFetch.requested_url AS list_source_url, dayArtifact.sha256 AS list_sha256, binding.artifact_id, binding.evidence_id AS transcript_evidence_id, transcriptEvidence.selector_type AS transcript_selector_type, transcriptEvidence.selector AS transcript_selector, transcriptFetch.id AS transcript_fetch_id, transcriptFetch.requested_url AS transcript_source_url, artifact.sha256 AS transcript_sha256, artifact.detected_mime, artifact.byte_size FROM sejm_statements s JOIN sejm_transcript_days day ON day.object_id = s.transcript_day_id LEFT JOIN sejm_mp_identities mp ON mp.term = day.term AND mp.mp_number = s.source_member_id LEFT JOIN sejm_transcript_day_statements dayStatement ON dayStatement.day_id = day.object_id AND dayStatement.day_revision_id = day.current_revision_id AND dayStatement.statement_id = s.object_id LEFT JOIN evidence dayEvidence ON dayEvidence.id = dayStatement.evidence_id LEFT JOIN fetches dayFetch ON dayFetch.id = dayEvidence.fetch_id LEFT JOIN artifacts dayArtifact ON dayArtifact.id = dayEvidence.artifact_id LEFT JOIN documents document ON document.owner_object_id = day.object_id AND document.document_kind = 'statement_transcript' AND document.source_document_key = CONCAT('sejm:statement:', s.statement_number) LEFT JOIN document_versions version ON version.document_id = document.object_id AND version.sequence_no = (SELECT MAX(latest.sequence_no) FROM document_versions latest WHERE latest.document_id = document.object_id) LEFT JOIN document_version_artifacts binding ON binding.version_id = version.object_id AND binding.role = 'html' AND binding.current_selector_sha IS NOT NULL LEFT JOIN evidence transcriptEvidence ON transcriptEvidence.id = binding.evidence_id LEFT JOIN fetches transcriptFetch ON transcriptFetch.id = transcriptEvidence.fetch_id LEFT JOIN artifacts artifact ON artifact.id = binding.artifact_id WHERE s.object_id = 96704 LIMIT 1
2. (1.9ms; exec 1.87 + fetch 0.03; rows 1) WITH ranked AS ( SELECT extraction.id, extraction.source_artifact_id, extraction.quality_state, ROW_NUMBER() OVER (PARTITION BY extraction.source_artifact_id ORDER BY CASE extraction.quality_state WHEN 'success' THEN 0 WHEN 'unreadable' THEN 1 ELSE 2 END, run.finished_at DESC, extraction.id DESC) AS preference FROM extractions extraction JOIN processing_runs run ON run.id = extraction.run_id WHERE extraction.source_artifact_id IN (86869) AND run.state = 'completed' ) SELECT ranked.source_artifact_id, ranked.id, ranked.quality_state, segment.source_text AS source_text FROM ranked LEFT JOIN text_segments segment ON segment.extraction_id = ranked.id WHERE ranked.preference = 1 ORDER BY ranked.source_artifact_id, segment.ordinal
3. (1.5ms; exec 1.47 + fetch 0.03; rows 4) SELECT statement.object_id, statement.statement_number, statement.speaker_name, dayStatement.ordinal, binding.artifact_id FROM sejm_transcript_day_statements dayStatement JOIN sejm_statements statement ON statement.object_id = dayStatement.statement_id LEFT JOIN documents document ON document.owner_object_id = dayStatement.day_id AND document.document_kind = 'statement_transcript' AND document.source_document_key = CONCAT('sejm:statement:', statement.statement_number) LEFT JOIN document_versions version ON version.document_id = document.object_id AND version.sequence_no = (SELECT MAX(latest.sequence_no) FROM document_versions latest WHERE latest.document_id = document.object_id) LEFT JOIN document_version_artifacts binding ON binding.version_id = version.object_id AND binding.role = 'html' AND binding.language = 'und' AND binding.current_selector_sha IS NOT NULL WHERE dayStatement.day_id = 96631 AND dayStatement.day_revision_id = 98758 AND dayStatement.ordinal BETWEEN 70 AND 74 AND statement.object_id <> 96704 ORDER BY dayStatement.ordinal
4. (1.3ms; exec 1.27 + fetch 0.03; rows 4) WITH ranked AS ( SELECT extraction.id, extraction.source_artifact_id, extraction.quality_state, ROW_NUMBER() OVER (PARTITION BY extraction.source_artifact_id ORDER BY CASE extraction.quality_state WHEN 'success' THEN 0 WHEN 'unreadable' THEN 1 ELSE 2 END, run.finished_at DESC, extraction.id DESC) AS preference FROM extractions extraction JOIN processing_runs run ON run.id = extraction.run_id WHERE extraction.source_artifact_id IN (86867, 86868, 86870, 86871) AND run.state = 'completed' ) SELECT ranked.source_artifact_id, ranked.id, ranked.quality_state, LEFT(segment.source_text, 240) AS source_text FROM ranked LEFT JOIN text_segments segment ON segment.extraction_id = ranked.id WHERE ranked.preference = 1 ORDER BY ranked.source_artifact_id, segment.ordinal
5. (1.55ms; exec 1.49 + fetch 0.05; rows 8) SELECT individual.raw_club, individual.evidence_id, f.requested_url FROM sejm_individual_votes individual JOIN sejm_votes vote ON vote.object_id = individual.vote_id AND vote.current_revision_id = individual.vote_revision_id JOIN object_revisions revision ON revision.id = vote.current_revision_id JOIN evidence e ON e.id = individual.evidence_id JOIN fetches f ON f.id = e.fetch_id WHERE vote.term = 10 AND vote.sitting_number = 35 AND individual.mp_number = 347 AND LEFT(JSON_VALUE(revision.snapshot, '$.date'), 10) = '2025-05-21' AND individual.raw_club IS NOT NULL AND individual.raw_club <> '' ORDER BY vote.voting_number DESC