Yoshikoder Rachel Campbell, Shawna Jackson, and Lisa Tselebidis Yoshikoder: The Basics Created by Will Lowe at Harvard’s Department of Government Can provide a word.
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Yoshikoder Rachel Campbell, Shawna Jackson, and Lisa Tselebidis Yoshikoder: The Basics Created by Will Lowe at Harvard’s Department of Government Can provide a word count, custom dictionary word count, and concordances (KWIC) Available for free at www.yoshikoder.org Some “standard” dictionaries also available at website Yoshikoder: Building Dictionaries Dictionaries contain categories and patterns Categories are general terms that patterns fall under Patterns are the words that are actually searched when performing a word count Wildcards are allowed Employ* will search for “employ,” “employment,” “employed,” etc. The name of the category must be included as a pattern if the user wishes for it be searched Yoshikoder: Rationale Our purpose was to analyze news reports on the Republican primary debate that occurred on 9/22/11 Transcript of the debate was compared with three other news sources Cleveland Plain Dealer San Jose Mercury News CNN Specific rationale was to compare the issues reported on by each outlet to all the issues presented at the actual debate Yoshikoder: Getting Started Yoshikoder Screen Yoshikoder: New Project Creating a new project Yoshikoder: New Project Naming a new project Yoshikoder: Adding Documents Add a document in the system’s default encoding (needs to be a txt-file) Yoshikoder: Adding Documents Highlight the file or… Yoshikoder: Adding Documents … the files you want to analyze and open it/them. Yoshikoder: Adding Documents Chosen files are being uploaded. Text of highlighted file is visible in the middle. Yoshikoder: Adding Dictionaries Import external dictionary or… Yoshikoder: Creating Dictionaries … create custom dictionary. 1st Step 3rd Step 2nd Step 4th Step Yoshikoder: Creating Dictionaries Name of the dictionary Category Patterns Important to know: • First highlight the category/pattern you want to add to by clicking on it • Yoshikoder includes wildcards (*) in its search Yoshikoder: Highlighting Yoshikoder: Highlighting Highlights words in the selected document matching the currently selected pattern (can also select a category). Yoshikoder: Concordance Yoshikoder: Concordance (also called KWIC) Makes a concordance in the selected document for words matching the currently selected pattern (can also select a category). Yoshikoder: Analysis Types of analyses: Document Word Frequencies: Shows frequencies for each word in the currently selected document. All Word Frequencies: Shows word frequencies for each document in the project. Unified Word Frequencies: Shows word frequencies for all documents together. (all documents need to be highlighted all at once) Dictionary Report: Applies the dictionary to the current selected document. Document Comparison: Applies the dictionary to two documents and compares the results. Statistical Comparison Report: Compares risk ratios for category proportion differences in two documents. Yoshikoder: Analysis Comparison of a Republican primary debate with its news coverage. Three different sources of coverage: • CNN (national) • San Jose Mercury News (local) • Cleveland Plain Dealer (local) Looking for differences regarding the coverage of issues being debated. Yoshikoder: Analysis – Document Word Frequencies Yoshikoder: Analysis – All Word Frequencies Yoshikoder: Analysis – Unified Word Frequencies Yoshikoder: Analysis – Dictionary Report Yoshikoder: Analysis – Document Comparison Yoshikoder: Analysis – Statistical Comparison Report D eb a te D eb a > te s Is s ci > > ea lth ar ity at io n H ur W ec al S s > nc e s n y om at io uc Ec on Fi na m ig r Im s > Ed s > > s s ue Is s ue So s te ue Is s ue Is s eb a te D eb a ue ue ue Is s Is s te Is s te te eb a eb a eb a D D D D Yoshikoder: Analysis Frequency of Debate Issues (by Category) 120 100 80 60 40 CNN MercuryNews PD Debate 1122 20 0 PD CNN De De ba D ba te I eb ss at te e De Iss ues Is > s ue ba ue s E t co s > > De e I ba ss u Ec o nom Ec te es n y ono > omy > m De Iss E u De b > Em y d e ba ate s > u ca Un plo te Is Ed ti o e m y* Iss s u u c n > plo e a ue s y E s > > F ti on du * De c i > n a Fi t* T ba n an te De an ce ui tio s c n b e De Iss > ue ate s > De * De bat S s I b ss p > t ba e I He ue end * ss De te s> u i a n De ba Iss u es > l th He g > es ba te I a H I l th ns ss e te > Im al th ura Iss ue s m n > ue > c s Im i gra V a e De cc tio ba De > Im mi in* n g ba te m i g ratio > A Iss te l ie n ue Iss rati n* > o s > ue s > n > Fen So I c ia So mm c e* De ig l S c ia l S ran ba ec De t* ec te ur ur ity ba Iss i t t > y ue e D Re s > Iss De eba ti r u W es e* te ba > Iss ar > te W ue Iss Do a s> ue De n't r s W ba As > ar te W k > ar Iss Ira > ue q* s > Pa k is W t an ar * > W ar * Yoshikoder: Analysis Frequency of Debate Issues (by Patterns) 120 100 80 60 40 20 0 CNN MercuryNews PD Debate 1122 Yoshikoder: Analysis Results • CNN report covered each of the seven issues (or categories) • Plain Dealer did not include Health or Education •Mercury News did not include War) • Top issues in CNN report were Immigration and Social Security • Top issue in Mercury News report was Social Security • Top issue in Plain Dealer report was Economy • No media outlet perfectly mirrors coverage of issues in debate