> ## Content Index > Fetch the complete content index at: https://leventbulut.com/llms.txt > Use this file to discover other available public pages before exploring further. # NEWS PHYSICS: Why This Rubric? - URL: https://leventbulut.com/news-physics-why-this-rubric/ - Published: 2026-05-02T14:44:33.000Z - Updated: 2026-05-02T15:41:25.000Z - Author: Levent Bulut - Tags: Haberin Fiziği, Levent Bulut, News Physics *Haberin Fizigi — Vaka Analizi Puanlama Cetveli* v1.0 · 2026 · [Levent Bulut](https://leventbulut.com/) Physics of Reality Ecosystem DOI: [https://doi.org/10.5281/zenodo.19545072](https://doi.org/10.5281/zenodo.19545072?ref=leventbulut.com) DOI: [https://doi.org/10.5281/zenodo.19979480](https://doi.org/10.5281/zenodo.19979480?ref=leventbulut.com) # Why This Rubric? News Physics operates through three core operators: News Pressure (Np), Institutional Resistance (Ir), and Information Entropy (Hs). These operators provide a theoretical framework. But when analysing a journalistic case — especially in comparative work — a more granular measurement tool is needed. The Case Analysis Scoring Rubric meets that need. Four metrics decompose the components of Np and Ir, positioning each case on a five-point scale. *This rubric is the bridge that transforms News Physics from theoretical model to operational tool.* # Four Metrics: Overview | **Metric** | **Correspondence in News Physics** | | ---------------- | ------------------------------------------------------------------------------------- | | System Fit (SF) | Equilibrium analysis of Np and Ir — how well does the story fit the system? | | Actor Power (AP) | The actor dimension of Ss — who is the story's subject? | | Tension (T) | Normalised value of the Np − Ir difference — how far does pressure exceed resistance? | | Diffusion (D) | Entropy velocity and the Ie component — how widely and quickly does the story spread? | Each metric is scored 1 to 5\. Scores are independent of each other. # Metric 1: System Fit (SF) ## What Does It Measure? System Fit measures the structural compatibility of a story with the current publishing environment — agenda, channel, period, and social climate. **SF = (Ss x Tu) / Environmental Resistance** ## Scoring Rubric | **Score** | **Label** | **Definition** | **Example** | | --------- | ------------- | --------------------------------------------------------------------- | ----------------------------------------------------------------------- | | 1 | System Misfit | No overlap with the current system. Even if published, it disappears. | A technical environmental report published during an election campaign. | | 2 | Weak Fit | Partial overlap but a fundamental incompatibility. | An important economic story on an entertainment-dominated platform. | | 3 | Moderate Fit | The story enters the system but leaves no lasting mark. | A political scandal in a standard channel during a normal news cycle. | | 4 | High Fit | The story slots into a gap the system was waiting for. | A public tender scandal during parliamentary budget hearings. | | 5 | Perfect Fit | Agenda, channel, timing, and actors align perfectly. | A documented election fraud claim published on election night. | ## Notes System Fit measures contextual alignment, not story quality. A perfect investigative piece may score SF:1 due to poor timing. # Metric 2: Actor Power (AP) ## What Does It Measure? The social impact capacity of the story's central subject — individual, institutional, or state actor. Determined by actual sphere of influence, not formal title. **Ss = AP x Issue Weight x Social Contact** ## Actor Categories | **Actor Type** | **Typical AP Range** | | ---------------------------------------------------------------- | -------------------- | | Individual citizen, local figure | 1 — 2 | | Local official, company manager, mid-level bureaucrat | 2 — 3 | | National-level politician, major company CEO, media owner | 3 — 4 | | Cabinet minister, party leader, major conglomerate owner | 4 — 5 | | International institution, multinational structure, global reach | 5 | ## Scoring Rubric | **Score** | **Label** | **Definition** | **Example** | | --------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 1 | Micro Actor | Individual or local level. Narrow sphere of influence, no leverage effect. | Irregularities by a neighbourhood official. | | 2 | Local Actor | Regional or sectoral level. Impact limited to a specific geography. | A municipal mayor's tender scandal. | | 3 | National Actor | Nationally recognised; decisions affect a broad audience. | A deputy minister's company. A major holding's CEO. | | 4 | Strong State / Market Actor | At the centre of decision-making mechanisms. A single move affects entire systems. | A minister's family-linked tender. A major bank's board of directors. | | 5 | Systemic Actor | International institution or structure with global reach. Decisions affect multiple national systems simultaneously. | Documented financial irregularities in a global health organisation's fund management — directly affecting national health policies and international aid flows across dozens of countries. | ## Notes AP is determined by real impact capacity, not formal title. A technically mid-level figure operating at a critical system node may score AP:4. # Metric 3: Tension (T) ## What Does It Measure? The normalised measure of conflict between News Pressure (Np) and Institutional Resistance (Ir). Measures physical struggle, not ethical value. **T = f(Np, Ir) -> normalised Np/Ir ratio** ## Scoring Rubric | **Score** | **Label** | **Definition** | **Example** | | --------- | ---------------- | ----------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | | 1 | No Tension | Almost no conflict between Np and Ir. | Official press release. Content readily accepted in state-controlled media. | | 2 | Low Tension | Partial conflict but balance has clearly shifted. | A competitive but politically risk-free economic story. | | 3 | Moderate Tension | Np and Ir genuinely facing each other. Editorial decision is critical. | A politically sensitive but documented claim. | | 4 | High Tension | Np is strong, Ir resisting. Story runs but at a cost. | Story concerning the outlet's major advertiser. Published under legal threat. | | 5 | Maximum Tension | Np at ceiling, Ir approaching infinity. Censorship or press freedom breaking point. | WikiLeaks-type leak. A story that led to a journalist's arrest or exile. | ## Notes A maximum-tension story may be true or false. The rubric does not make moral judgments — it measures dynamics. # Metric 4: Diffusion (D) ## What Does It Measure? How widely and how quickly a story reaches across the system after publication. Measures actual spread — not potential. **D = dNp/dt -> time derivative of Np** ## Diffusion Channels | **Channel** | **Diffusion Effect** | | ----------------------------------------- | -------------------- | | Single national outlet / website | Limited — D:1-2 | | Multiple national media | Moderate — D:2-3 | | Social media amplification | High — D:3-4 | | International media pick-up | Very high — D:4-5 | | Viral + international + official response | Maximum — D:5 | ## Scoring Rubric | **Score** | **Label** | **Definition** | **Example** | | --------- | ------------------ | -------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | | 1 | Local Diffusion | Story stayed on the platform where published. Entropy was fast. | A regional irregularity remaining in a local newspaper. | | 2 | Moderate Diffusion | A few channels picked it up. A short momentum exists. | A political statement in small items in national newspapers. | | 3 | Wide Diffusion | Multiple national channels. Agenda stayed open for days. | A minister scandal remaining in agenda for several days. | | 4 | Viral Diffusion | Went viral and / or picked up by international media. | WikiLeaks, Pandora Papers-type — international pick-up, days of dominance. | | 5 | Systemic Diffusion | Story transformed the system. Investigation, resignation, legislation triggered. | Watergate. Panama Papers. An investigation that led to a government's fall. | ## Notes A high-Np story may score D:1 due to wrong channel or poor timing. In this case the Entropy Law has taken effect. **Integrated Case Analysis Protocol** When the four metrics are used together it becomes possible to produce the complete physical profile of a news case. ## Step 1: Calculate Np and Ir First calculate the base operators: Np = Ss x Tu x Ie and Ir = Pp x Ed / Ec. ## Step 2: Score the Four Metrics Score each metric independently on a 1-5 scale using the rubric criteria above. ## Step 3: Interpret the Profile | **Profile Type** | **Interpretation** | | ----------------- | ----------------------------------------------------------------------------------------------- | | SF:5 AP:5 T:1 D:5 | Powerful actor within the system, published with low resistance, large impact. Ideal condition. | | SF:4 AP:4 T:5 D:2 | Strong story, published under high pressure but low diffusion. Channel problem. | | SF:3 AP:3 T:2 D:3 | Balanced, 'normal' news case. System is functioning. | | SF:1 AP:5 T:5 D:1 | Powerful actor, maximum tension but system completely suppressed. Censorship case. | | SF:2 AP:1 T:1 D:4 | Weak actor, low tension but went viral. Suspected fake Np injection. | # # # # Example Case: The Minister's Company A fictional but realistic case: A ministry has awarded tenders 12 times over 3 years to a construction firm in which the minister's spouse is a partner. Documents exist. The source is a former director within the ministry. The story arrives at a pro-government newspaper. | **Metric** | **Score + Rationale** | | ---------------- | ----------------------------------------------------------------------------------------------- | | System Fit (SF) | 4 — Parliamentary budget hearings are this week. Agenda alignment is perfect. | | Actor Power (AP) | 4 — Minister-level actor. Public tender + family connection. | | Tension (T) | 4 — Np is strong (648), Ir is high. Editorial pressure is certain. | | Diffusion (D) | 3 — If published, it will appear in national media. Potential D:5 but realisation risk present. | This profile says: the story is physically ready to publish (SF:4, AP:4), is in serious conflict (T:4), and its potential diffusion is strong (D:3→5). If it is not published, Ec has been zeroed out and Ir has become infinite. That is the mathematical proof of censorship. [ Who Is Levent Bulut?](https://leventbulut.com/who-is-levent-bulut/) **News Physics —** [**Case Analysis Scoring Rubric**](https://leventbulut.com/news-physics-case-analysis-scoring-rubric/) **v1.0** *Levent Bulut · 2026 · Physics of Reality Ecosystem* DOI: https://doi.org/10.5281/zenodo.19545072